TECHNICAL FIELD

The present invention relates generally to wireless receiver systems, and in particular relates to methods and apparatus for suppressing interference in such receivers caused by nonlinear distortion from strong interfering signals

BACKGROUND

In the field of radio receivers there is a continuing effort to minimize the amount of tuned circuitry used By reducing the number of tuned circuits, larger portions of the receiver may be integrated, resulting in smaller, and often less expensive, devices This effort has resulted in widespread interest in homodyne receivers (also known as direct-conversion receivers) and low intermediate frequency (low-IF), or near-zero intermediate frequency (near-zero IF) receivers A well-known and common deficiency of some prior art homodyne and low-IF receivers is susceptibility to strong interfering signals A typical front-end circuit for a radio receiver includes a filter just after the antenna input, with a bandwidth that is often significantly larger than the signai bandwidth for a given signal of interest As a result, the signal admitted by the antenna bandpass filter may comprise one or more unwanted signals as well as the wanted signal These unwanted signals may generate intermodulation products, among themselves and with local oscillator leakage signals appearing at the receiver input, due to square-iaw and higher-order distortion terms in the receiver's radio frequency (RF) circuitry These intermodulation products may produce corruptsng interference in the complex baseband signals

Those skilled in the art will appreciate that potentially interfering signals may appear at the receiver across a spectrum extending over the total bandwidth of the receiver's RF filter or filters Second-order (and various higher-order) intermodulation products from these signals may thus overlap the desired downconverted signal when the intermediate frequency is less than the antenna bandwidth In the case of a homodyne or zero-IF receiver, these interfering signals may manifest themselves as a varying DC offset, which is not easily compensated by the various means commonly employed to compensate a constant DC offset A varying DC offset is most pronounced when interfering signals are amplitude modulated, or of a bursty type, such as with time-domain multiple access (TDMA) transmissions

The following patents issued to one of the present inventors disclose compensation of DC offset in homodyne receivers as well as addressing other practical deficiencies such as slope and other slow drifts US Patent No 5,241 ,702 to Dent, issued August 31 1993, entitled "DC Offset Compensation in a Radio Receiver", US Patent No 5,568,520 to Lindquist and Dent issued October 22, 1996 entitled "Slope, Drift and Offset Compensation in Zero-IF receivers", US Patent No 5,712,637, issued January 27, 1998, a divisional of the above '520 patent, and US patent number 6 473,471 , issued October 29, 2002 also a divisional of the above Various other patents disclose compensation techniques for DC offsets, including varying DC offsets, in a homodyne receiver These patents include several issued to Lindoff et ai US Patent No 6 370,205 entitled "Method and Apparatus for Performing DC-Offset Compensation in a Radio Receiver," issued April 9, 2002, US Patent No 6,449,320 entitled "Equalization with DC Offset compensation," issued September 10, 2002, and US Patent No 7,046,720, entitled "System and Method for DC Offset Compensation in a VVCDWiA Receiver," issued May 16, 2006

In addition, US Patent No 5,749,051 , issued to current applicant Dent on May 5, 1998 and entitled "Compensation for Second Order lntermodulation in a Homodyne Receiver," discloses compensating varying DC offsets caused by strong signals in a homodyne receiver All the above mentioned patents are hereby incorporated by reference herein Related problems due to strong interfering signals have also been found to apply to non- homodyne, iow-IF receivers in which the intermediate frequency is non-zero, but still lower than the total antenna filter bandwidth In these Iow-IF receivers, it is stiil possible for two strong interfering signals within the RF bandwidth of the antenna bandpass filter to produce intermodulation products that spectrally overlap the desired IF signal These interfering intermodulation products include second-order intermodulation products (or, more generally, even-order products), which arise due to the square-law term in the polynomial expansion of an RF circuit's non-linear transfer function As is well-known, the square-law term may also be reduced by employing balanced, i e push-pull, circuit structures However, another mechanism that can produce interference is second-order intermodulation between one or more strong received signals, which then proceeds to moduJate a local oscillator leakage signal Local oscillator leakage in RF circuitry is a prime source of DC offset in homodyne receivers in which the local oscillator ss directly on the wanted signal frequency In Iow-IF receivers, strong interfering signals can effectively modulate the local oscillator leakage signal, producing spectral components that are downconverted to the intermediate frequency

Interference from this mechanism is proportional to the magnitude of the cubic term in the transfer function non-linearity, which is not reduced by employing balanced structures, but is still a function of second-order intermodulation between the external signals In effect, one or more strong signals mter-moduiate using two of the cubic term's powers, the result of which is transferred to own local oscillator leakage via the third powei Both direct second-order intermodulafton and the latter mechanism produce interference proportional to second-order intermodulation between external signals

Although various solutions have been proposed for eliminating or reducing DC-offset problems in homodyne receiver, including those disclosed in the aforementioned US Patent No 5,749,051 (hereinafter referred to as 'the '051 patent"), further improvements are required to suppress strong signal interference arising through non-linearities in radio receivers using nonzero intermediate frequencies SUMMARY

The inventive circuits and methods disclosed herein compensate for unwanted distortion of a received signal in a wideband receiver caused by non-linearities in the receiver circuitry In some embodiments of the inventive circuits disclosed herein, a distortion waveform generator comprises noπ-hnear circuitry configured to approximate one or more non-linear response characteristics of a downconverter circuit used to downconvert the received radio frequency signal The estimated distortion waveform thus produced is filtered, using a filter or filters substantially similar to those used for filtering a received signal downconverted to a processing frequency, e.g., baseband, low IF, IF ₁ high IF, etc. The signai of interest frequency includes the desired signai and one or more non-linear distortion products caused by one or more strong interfering signals. The filtered estimated distortion waveform and processing frequency signal are sampled, to obtain a sampled distortion signal and a sampled signal of interest The sampled distortion signal and sampled signal of interest are divided into a plurality of frequency channels. In an exemplary interference subtraction unit, the sampled distortion signal for a frequency channel is scaled, using a scaling factor determined for the same frequency channel, and subtracted from the sampled signal of interest for the same frequency channel to obtain reduced-interference signal samples for the frequency channel This process is performed for each of a selected number of frequency channels. In some embodiments, the selected number of frequency channels comprises all of the plurality of frequency channels. In other embodiments, the selected number of frequency channels comprises a subset of frequency channels including fewer than the plurality of frequency channels

In some embodiments, the scaling factor is determined by correlating the sampled signal of interest for each of the selected number of frequency channels with the corresponding sampled distortion signal for each of the same frequency channels In some of these embodiments, frequency channel specific complex distortion signal samples, e.g , distortion signal samples comprising in-phase and quadrature components, are correlated with the corresponding complex samples of the signal of interest for each of the same frequency channels, to obtain a complex scaling factor for each of the selected number of frequency channels

Several variants of a receiver circuit for reducing interference from intermoduiation distortion in a receiver are disclosed Corresponding methods are also disclosed

BRIEF DESCRIPTION OF THE DRAWINGS Figures 1-4 each illustrate an exemplary receiver circuit according to one or more embodiments of the invention

Figure 5 illustrates an exemplary method for reducing interference from intermoduiation distortion in a receiver Figure 6 illustrates an exemplary method for determining a scaling factor for use in removing a sampled distortion signal from a signal of interest

Figure 7 illustrates an exemplary receiver circuit according to another embodiment of the present invention Figure 8 illustrates an exemplary interference compensator for the receiver circuit of

Figure 7

Figure 9 illustrates an exemplary method for determining the scaling factors for use in removing a sampled distortion signal from a wideband signal of interest

DETAILED DESCRlPTtON

The homodyne or direct-conversion receiver may be regarded as a variation of the traditional superheterodyne receiver A superheterodyne receiver in general receives signals in a first frequency band and mixes the received signals with a locally generated oscillator signal thus converting them to a second or intermediate-frequency (IF) band By selecting the local oscillator frequency to be a constant amount away from a desired signal in the first frequency band, the desired signal always appears at the same frequency in the IF band, facilitating its selection by means of a fixed-tuned IF filter

In the homodyne variation the chosen "intermediate" frequency band is DC, or zero frequency The local oscillator must then be tuned to the center of the desired received signal At the mixer output, modulation on the desired signal, which typically is manifested as spectral components above and beiow the desired ssgna! center frequency, is "folded " Thus, a signal component at a frequency offset A/ above the desired signal's center frequency or Af below the desired signal's center frequency will appear at the mixer output at an absolute frequency of Af To allow the receiver to distinguish between these folded components, quadrature downconversion may be used, where two mixers are provided, using local oscillator signals that are phase offset by 90 degrees In this case an upper-sideband signal component A and lower-sideband signal component B will appear in the ιn-phase and quadrature mixer outputs as / = A + B and Q ~ j(A - B) , respectively The upper- and lower-sideband components may then easily be separated by forming B = (/ + ;Q) /2 and A = (I - /0/2 Homodyne receiver operations are described \n more detail in U S Patent No

5,241 ,702, which was incorporated by reference above As noted above, homodyne receivers suffer from DC-offset problems that result from the fact that the local oscillator frequency is equal to the desired reception frequency The DC-offset problems result in self-interference due to leakage of the local oscillator signal into the RF input of the downconversion circuit Because the leakage signal ss located precisely on the desired signal center frequency, the interfering component becomes converted to exactly zero frequency, or DC, at the downconverter outputs The resulting DC offset component may be many orders of magnitude larger than the desired signal, and may be removed by applying the teachings of one or more of the above-referenced patents

When at least one or more other strong interfering signals are present at any frequency at the input of a homodyne receiver's down con verier, such signals may be converted to DC by mixing with themseϊves through any even order distortion terms in the polynomial description of the mixer transfer function As Will be appreciated by those skilled in the art, this effect may be minimized by employing balanced mixer structures and push-pull RF amplifier structures These techniques generally provide cancellation of even-order distortion, of which the most significant results from the square-law term of the circuit's non-linearities, also known as second-order mtermodυlation Nevertheless, signals of sufficient strength may still produce fixed or variable DC offsets due to residual second-order noniineaπties of the downconverter circuit, due to imperfect baSance in said balanced structures In addition, odd-order distortion terms such as the third-order term may allow mixing of at least one strong signal with itself, using the first two orders, to produce a low frequency signal, which then mixes with a local oscfllator leakage signal (using the third of the three orders) to impress low frequency modulation upon the local oscillator leakage signai

The latter mechanism is also proportional to second-order distortion between the strong interfering signals, but arises due to the third-order distortion term in the RF circuit transfer function Such third-order non-linearities are usually smafler than second-order non-linearities, but since odd-order terms are not suppressed by using balanced or push-pull circuit structures, these third-order distortion terms may be the dominant source of interference

For example, consider an interfering radio-frequency signal S ₁ and a local oscillator leakage signal .S ¹ , , operated upon by a cubic distortion term to produce

(S, + S ₁ Y _^ S ₁ ' + 3S ₁ ⁷ S, ^S ₁ SZ ₊ S/ (1) Those skilled in the art will appreciate that 3Λ' _t ² S ₁ may produce an interfering signal at the local oscillator frequency, which may then be downconverted to DC Thus, 3S ₍ ^ S ₁ is a potentially damaging term in the expression of Equation (1) in effect, S ₁ ¹ represents a square- law amplitude detection of the unwanted sιgnal(s) .S, , the amplitude then modulating the local oscillator leakage S ₁ such that it cannot be treated as a constant by a DC offset compensating mechanism In a homodyne receiver, this interfering signal may be compensated using the techniques disclosed in the '051 patent

When a low-IF receiver is used rather than a zero-IF receiver, it is not necessarily the amplitude modulation detected by the term S ₁ ¹ which causes the interference, but rather a spectral component of it within the low-IF passband Further, third-order terms resulting from two interfering signals and the local oscillator leakage may also fall within the fow-IF passband Depending on how low the IF is, these interference components may or may not be suppressed by the techniques disclosed in the '051 patent Thus, enhancements to the techniques of the '051 patent will now be described reducing such interference, with the aid of Figure 1

In the exemplary receiver circuit of Figure 1 , a Signal received via an antenna is filtered by antenna filter 101 and amplified by low-noise amplifier 102 in some embodiments the amplified signal is filtered further with an additional radio frequency (RF) filter 103, which is indicated as optional in the circuit of Figure 1 The amplified received signal is then applied to quadrature mixers 104a and 104b, as we!) as to the distortion waveform generatoM OΘ The quadrature mixers 104a and 104b are driven by a quadrature local oscillator, commonly a voltage controlled oscillator controlled by a frequency synthesizer, which is pictured in Figure 1 as QVCO 105 Unlike the local oscillator in a homodyne receiver, the local oscillator frequency in the circuit of Figure 1 is not coincident with the carrier frequency or center of the wanted signal channel, but is instead offset by a frequency offset equal to the desired intermediate frequency A common offset used for low-IF receivers for receiving frequency- multiplexed channels is one-half the channel spacing (ι e , one-half of the frequency separation between adjacent channels in the frequency-multiplexing scheme), which places the local oscillator just outside the signal spectrum on one edge of the desired channel or the other Another possible choice of intermediate frequency is an integer multiple of the data symbol transmission rate used in the channel, or an integer multiple of a sub-multipie of the data symbol rate, for example, one-half the symbol rate, one times the symbol rate, 1 5 times the symbol rate, and so on One advantage of selecting an IF that is related to the symbol rate is that subsequent phase de-rotation of samples of the IF signal may be achieved ussng short, repetitive, phase sequences

Jn a receiver using a non-zero IF, such as the receiver circuit of Figure 1 , a desired signal in the received radio signal is thus converted to an intermediate frequency band that does not include zero frequency This permits DC offset, which would be troublesome in a homodyne receiver, to be removed by high-pass filters, as shown in Figure 1 with high-pass filters 107a and 107b

However, as was discussed above, strong signals may create not only DC offsets but interference covering a range of frequencies, as a result of non-linearities in the mixers 104a and 104b of Figure 1 As discussed above, this interference may comprise various distortion products of unwanted signals and leakage from the local oscillator signal, and may be due to square-law terms, cubic terms, or higher-order terms in the polynomial expansion of the circuit's non-linearity The receiver circuit of Figure 1 thus includes interference reducing circuitry, including distortion waveform generator 106 Distortion waveform generator 106 effectively mirrors one or more of the non-linear processes in mixers 104a and 104b by which strong, undesired signals are converted to interference that overlaps the signal spectrum in some embodiments, distortion waveform generator 106 may approximate the non-hneantses of mixers 104a and 104b using a device that produces square-law distortion For example, a mixer circuit similar to that used in mixers 104a and 104b, but with the amplified received signal connected to both the RF input and local oscillator input could be used Alternatively, a P-N junction or FET transconductance could provide a suitable non-linearity

More accurate approximations of the non-linear distortion of mixers 104a and 104b may be produced by characterizing the mixer performance and constructing a circuit to replicate the non-linear characteristics of the mixers This process might begin with measuring the strong signal interference appearing at the outputs of mixers 104a and 104b and plotting the interference versus the strength of the signals on a log/log (ι e dB/dB) scale The slope of the resulting plot then indicates the order of the non-linearity involved An approximation of the non-linearity may then easily be designed using non-linear components such as diodes In some cases, it may be necessary to match both a square-law term and a cubic term in the polynomial expansion of mixer non-linearities, the square-law term being necessary to estimate the product of a strong signal with itself while the cubic term approximates the product of one or more strong signals with local oscillator leakage

In some embodiments, distortion waveform generator 106 may comprise two or more separate non-linear functions, e g , one of which is predominantly a square-law non-linearity and another which is predominantly a cubic non-linearity In some such embodiments, these separate distortion estimates may be separately processed (e g , filtered and digitized) and then used to cancel interference to the desired intermediate frequency In others, the separate distortion signal estimates may be combined before further processing, to produce a multi-term approximation of the interference produced by the receiver's downconverter circuit

In the discussion that follows, an explanation of how a single non-linear interference signal is processed and subtracted is provided, those skilled in the art will recognize that the descπbed approach may be readily applied to multiple distortion signal estimates produced by separate non-hnear functions, e g square-law and cubic-law functions, whether the interference estimates are processed separately or together

In any case, distortion waveform generator 106 approximates one or more components of the interference waveforms appearing at the outputs of mixers 104a and 104b, except that the estimated distortion waveform produced by distortion waveform generator 106 differs from the interference from mixers 104a and 104b by an as-yet-unknown scaling factor

In the circuit of Figure 1 , the estimated distortion waveform produced by distortion waveform generator 106 is processed in essentially the same manner as the intermediate signals produced by mixers 104a and 104b Thus, just as the intermediate frequency signals produced by mixers 104a and 104b are filtered by high-pass filters 107a and 107b to remove the unwanted DC components and higher-frequency interference products, so is the interference estimate signal from distortion waveform generator 106 filtered, using an identical (or similar) high-pass filter 107c The high-pass filtering of each signal relieves the subsequent analog-to-chgital converters (ADCs) 109a, 109b and 109c from requiring a dynamic range sufficient to encompass the DC offset component, which would in many cases dominate the signal All three signals i e , the outputs from mixers 104a and 104b and the output from distortion waveform generator 106 may also be low-pass filtered, to remove signal components above the highest-frequency components of the desired signal spectrum Accordingly, in some embodiments, low-pass filters 108a, 108b, and 108c are configured to reject signals above a cut-off frequency equal to the IF center frequency plus half the bandwidth of the desired signal The combined response of each pair of high-pass filter 107 and low-pass filter 108 thus selects the desired signal components, as well as any interference components that spectrally overlap the desired intermediate frequency band The low-pass filters also aliow the sampling rate of ADCs 109a, 109b, and 109c to operate at the lowest possible sampling frequency that meets the Nyqusst sampling criterion for the desired signai bandwidth Those skilled in the art will appreciate that it is also possible, especially for somewhat higher intermediate frequencies to use a bandpass filter, or a cascade of two or more filter blocks, with a net response that combines the responses of each pair of high-pass filter 107 and low-pass filter 108 Any of these filters or filter blocks may also be of the poly-phase type, further enhancing the image rejection performance of the receiver circuit When poly-phase filters are used for any of filters 107a-b and 1G8a-b, phase compensation or corresponding polyphase filtering may be applied to filters 107c and 108c

Those skilled in the art will further appreciate that ADCs 109a-c may in some cases be bandpass ADCs, operating at a sampling frequency less than the intermediate frequency but greater than the bandpass filter bandwidth In some embodiments, these bandpass ADCs may be configured to sample the input analog signals at pairs of points spaced by an odd multiple of quarter-periods at the intermediate frequency, thus producing ιn-phase and quadrature samples Such "quadrature sampling" is explained in more detail in, for example, US Patent No 4,888,557, issued to Puckette et al

Those skilled m the art will appreciate that in each of the variants of the circuit of Rgure 1 discussed above, the processing performed on the intermediate frequency signals output from mixers 104a and 104b is also performed on the output of distortion waveform generator 106 Thus, extraneous interference components appearing outside the intermediate frequency band are removed by filters 107c and 108c Furthermore, components of the estimated distortion waveform from distortion waveform generator 106 at or near the intermediate frequency experience similar delays and frequency response as seen by the intermediate frequency signals from mixers 104a and 104b The result of this similar conditioning of the intermediate frequency signals and the interference estimation signal ts that the estimated distortion waveform approximates the interference appearing in the intermediate frequency signal as closely as possible

After analog-to-digital conversion in ADCs 109a-c the ιn-phase and quadrature intermediate frequency signals and the estimated distortion waveform are in the numerical domain, and may be collected and stored in memory for non-real-time (ι e offline) processing by interference subtraction circuit 150, which may comprise one or more digital signal processors, microprocessors, microcontrollers, or other digital hardware Of course, non-real-time processing is not essential, but is often more convenient, as the system designer need only be concerned that the entire processing is completed within the time available, and need not be so concerned about maintaining the timing between individual parts of an extended synchronous process

The processing in interference subtraction circuit 150 includes correlating, in correlators 11 1 a and 111 b, the estimated distortion waveform samples from ADC 109c with the signal samples from ADCs 109a and 109b Correlators 1 11 a and 1 11 b may operate in various ways, but with the same objective to determine scaling factors, illustrated as amounts a and b in figure 1 , indicating how much of the interference signal is appearing in each of the signal paths over a predetermined averaging period

The distortion signal samples from ADC 109c are then scaled by the scaling factors a and b in multipliers 112a and 112b The scaled distortion signal samples are subtracted from the ιn~phase and quadrature samples of the intermediate frequency signal in subtracting circuits 1 1 Oa and 110b, respectively In alternative embodiments, of course, a scaling factor could be applied to the sampled signal of interest, rather than the distortion signal samples In any event, the resulting interference-reduced samples are further processed to detect and decode data carried by the desired signal One method of correlation is to multiply the distortion signal samples by time- corresponding samples of the signal of interest, and summing the products over the averaging period The resulting sum may, in some embodiments, be normalized by dividing by the number of samples used Another method of correlation which is shown in Figure 1 , is to scale the distortion signal samples with initial values for a and b (which may be arbitrary), and subtract the scaled distortion signal samples from the ιn-phase and quadrature signal samples using subtracting circuits 110a and 1 10b The resulting samples may then be correlated with the distortion signal samples to determine whether a residual portion of the interference signal estimate remains to be subtracted The scaling factors a and b may then be updated to drive the residual interference component towards zero Thus, those skilled in the art will appreciate that the subtraction circuits 110 and correlator circuits may be arranged in ways other than those illustrated m Figure 1 , while still achieving the objective of eliminating as far as possible the interference waveform defined by distortion ssgna! samples produced by ADC 109c from the sampies of the signal of interest produced by ADCs 109a and 109b, to obtain interference- reduced samples at the outputs of subtracting circuits 1 10a and 110b fn the embodiment of Figure 1 , these interference-reduced signal samples comprise in- phase and quadrature components that together form a complex number that is rotating (on average) from one sample to the next by an angular phase of 2πf _n AT , where f _u is the intermediate frequency and Δ7 is the time between sampies This average phase rotation represents phase rotation induced by a carrier signal at the intermediate frequency, and may be removed by conventional phase de-rotation techniques As shown in the circuit of Figure 1 , for example, the interference-reduced samples may be multiplied, using complex multiplier 120, by phase de-rotation samples e ^/7τi " produced by phase rotation generator 130 (The value / is an integer index to successive samples, so that sample / receives an effective angular "de- rotation" of 2m In )

In some embodiments / _/; and Δ7 ¹ are conveniently selected so that f _js AT is the reciprocal of an integer n , so that the phase rotation returns to the same point every n samples However, this is not required, such operations merely simplify the function of phase rotation generator 130 in generating the complex multiplication factor ^ ¹¹ "" In general, the reciprocal of /„ NT is an integer if both the sample rate and intermediate frequency are selected to be integer multiples of one-half of the symbol rate However, even if they are not closely related to a symbol rate for the desired signal, f _n AT may still be the ratio mln of two integers, such that the sequence also repeats after n samples However, m this case, n may be much longer In the limit, of course, f _π Λ7 may be an irrational number, in which case a phase-derotation angle may be computed for each sample, rather than being plucked from a look-up-table

In any case, referring once more to Figure 1 , the progressive phase rotation is removed in complex multiplier 120, where the interference-reduced signal samples, considered as a complex pair, are multiplied by the conjugate of the phase rotation factor to unwind the successive rotation The result from complex multiplier 120 is an in-phase and quadrature (I ₁ Q) representation of the desired signal, just as if a zero~IF or homodyne receiver had been used, except without the troublesome DC offset component Furthermore, strong signal intermodulaiton components may be substantially reduced

In Figure 1 , phase rotation generator 130 may be clocked (indexed) using the same clock used to drive the sampling in ADCs 109a-c Since the digital processor 150 described above may operate in non-real time, i e , using buffered samples of the distortion signal samples and the intermediate frequency samples, this simply means that a sample index / beginning at an arbitrary point is associated with successive samples and incremented for each successive sample, for example in the I/O routine that reads samples from the ADCs into the digital processor's memory In some embodiments, the index may also be a memory address index, assuming samples are stored sequentially in memory However the index used for geneiator 130 may be reduced modulo-n, while a memory address index is not necessarily modulo-reduced by the same modulus, depending on the size of any circular buffer used Therefore, a separate index / , which is incremented modu!o-n, may be maintained in some embodiments, and associated with successive samples

Those skilled in the art will appreciate that the techniques pictured in Figure 1 and described above permit receivers to be built with intermediate frequencies that are much iower than half the bandwidth of antenna filter 101 Without the use of these techniques, such a receiver might otherwise be susceptible to, for example, interference from strong signals separated by the intermediate frequency that may pass through antenna 101 and be converted to the intermediate frequency In conventional superheterodyne receivers, this interference is traditionally avoided by choosing IF frequencies that are greater than the maximum frequency separation of signals that may pass through antenna filter 101 In other words, conventional superheterodyne receivers use intermediate frequencies that are greater than the bandwidth of the receiver's RF filter or filters However, as will be appreciated by those in the art, the use of low intermediate frequencies, as enabled by the techniques disclosed herein, has the advantage of permitting an earlier conversion to the digital domain, with a consequent reduction in the number of analog components, which in turn facilitates more efficient integration, and fess expensive receivers

In the preceding description of the receiver circuit of Figure 1, the importance of treating the output of the distortion waveform generator 106 in the same manner as the intermediate frequency signal was emphasized Of course, differences in circuit layout and component tolerances in filters 108a-c and 107a-c may cause small differences These differences may be larger for circuits employing higher intermediate frequencies in particular, when an intermediate frequency that is substantially higher than the signal bandwidth is selected, and filter pairs 107 replaced with bandpass filters, there may be significant phase shift differences between different bandpass filters in this case, the scalar interference scaling factors a and b of Figure 1 may not provide optimal suppression of the interference, an additional phase correction may be required

The circuit pictured in Figure 2 provides an exemplary solution for such a case Figure 2 illustrates an exemplary receiver circuit, including elements of a conventional double- superheterodyne receiver A first mixer 204 converts the input signal amplified by low-noise amplifier 102 to an intermediate frequency The intermediate frequency in some embodiments may be high enough so that the combination of antenna filter 101 and filter 103 provide adequate image rejection, as in this implementation mixer 204 need not be an image-rejection mixer Those skilled in the art will appreciate that when mixer 204 is not an image rejection mixer, filter 103 is probably not optional, as it was in the circuit of Figure 1 , but may be reqmred or desirable in order to suppress amplified image noise from low-noise amplifier 102

Mixer 204 is followed by a bandpass filter 207a tuned to the IF center frequency In order for filters 101 and 103 to suppress the image response, the IF must be greater than half the combined bandwidth of filters 101 and 103, since the image is twice the IF away from the desired signal, to ensure that the image is outside the RF bandwidth selected by the these RF filters However, to prevent two input signals falling within the antenna filter bandwidth from mixing, due to second-order non-linearities, to produce a distortion product at the IF, then the IF center frequency should be greater than the whole RF bandwidth Therefore, there is a range of intermediate frequencies between one-half the RF bandwidth and the RF bandwidth that would still be susceptible to degradation by strong signal non-linear effects This degradation may be reduced using the interference reduction techniques illustrated in Figure 2

As with the receiver circuit of Figure 1, a distortion waveform generator 106 is provided, in order to "mimic," or approximate, the non-linearities in mixer 204 that permit strong signals to mix and create IF break-through Distortion waveform generator 106 therefore generates a signal that approximates one or more components of strong-signal interference that appear at the output of mixer 204

In the receiver circuit of Figure 1 , it was assumed that the IF was low enough that the entire spectrum of interest at the output of mixers 104a and 104b and distortion waveform generator 106 could be digitized using ADCs However, with the higher IF contemplated for the receiver of Figure 2, it may be desirable to avoid digitizing the entire spectrum from zero up to the IF, when only a relatively narrow band centered at the IF is of interest Thus, this band of interest is selected at the output of mixer 204 by IF band-pass filter 207a Since the estimated distortion waveform from distortion waveform generator 106 should be treated identically to the tntermedtate frequency signal, an identical (or substantially identical) band-pass filter 207b is provided to filter the estimated distortion waveform produced by distortion waveform generator 106 In other words, filters 207a and 207b are matched as closely as is practical

If the filters were identically matched, interference suppression could be achieved by simply determining a scaling factor a to be applied to the waveform from filter 207b to obtain a scaled distortion signal for subtracting from the output of filter 207a However, with the potential of a phase mismatch between filters 207a and 207b, the scaling of the distortion signal should preferably include a phase correction This phase rotation may be achieved by using a complex scaling factor, in the form a + jb

To determine the complex scaling factor a + φ , the signals at the outputs of band-pass filters 207a and 207b may be first converted to complex digital samples, since digital processing is more easily integrated Thus, in the receiver of Figure 2, the output of band-pass filter 207a is downconverted to a quadrature baseband using quadrature downconverter 209a, which comprises quadrature mixers 208a and 208b and low-pass filters 21 Oa and 21 Ob The output of filter 207b is likewise downconverted, using quadrature downconverter 209b which comprises mixers 208c and 208d, and low-pass filters 210c and 21 Od The quadrature downconverters reqiπre cosine and sine mixing signals, which may be obtained for both from complex signal generator (second local oscillator) 230 In some embodiments, complex signal generator 230 may be a quadrature voltage-controlled osciSiator (QVCO), controlled by a frequency synthesizer loop in others, complex signal generator may comprise a numerical signal generator using cosine/sine look-up tables Filter pairs 210a-b and 210c-d may also be implemented as two poiy-phase filters, in some embodiments of the invention

The outputs of each of the four filters 210a~d are digitized using ADCs 109a-d, producing a complex signal pair I) ,Q] , corresponding to the ιn-phase and quadrature samples of the signal of interest, and a complex signal pair J2,Q2 , corresponding to ιn-phase and quadrature samples of the distortion signal These complex signals are supplied to interference subtraction circuit 250, where complex correlator 211 next correlates the sampled signal of interest ( /1,0 ) with the distortion signal samples ( I2. Q2 ), to determine the magnitude and phase, described by the complex correlation result a + /b , of interference in the sampled signal of interest

Complex correlation may be achieved by multiplying samples of the first signal by the complex conjugate of samples of the second Signal over a predetermined time period, and averaging the result Thus a + ib = ± ∑ (I\ _{ι +} ,Q] ₁ )(Il _{1 +} !Q2j = ±∑ (I\ _t + ,Q ^] _k )(12 _k - JQ2,, ) , (2) for N paired samples /1 _A .6>I _Λ and I2 _l . Q2 _i Alternatively a ^{=: ~} ∑ ( ^{] l} ι ¹² ^ Qh έ?2 _A ) ^, ( ³⁾ and b = ~∑(12 _k Qh -Il ₁ Q2 _L ) (4)

The averaging period used by correlator 211 may tn principle be quite long, as it is determining a scaling factor related to the generally static characteristics of mixer 204 and distortion waveform generator 106, i e , it is determining by what complex factor the signal from non-linear interface estimation circuit 106 differs from the non-linear signals at the output of mixer 204 In genera! this relationship should not be signal dependent, although it may be temperature or voltage dependent Thus, in some embodiments it is sufficient to use an averaging period that is perhaps 100 - 1000 times the reciprocal of the signal bandwidth, so that radio noise is substantially averaged out Given a Νyquist sampling rate, then averaging the correlation over 200 to 2000 sample pairs may be envisaged Those skilled in the art will appreciate that some embodiments of the circuit pictured in Figure 2 may employ a rolling average, so that the complex scaling factor is continuously updated as new samples become available Other embodiments may compute a new complex scaling factor for each new set of sample data Still others may only occasionally compute complex scaling factor, periodically re-computing the scaling factor based on new sample data, to ensure that the relationship between the distortion signal estimate produced by the distortion waveform generator 106 and the interference appearing in the intermediate frequency signal remains under control

In any case, complex multiplier 212 applies the complex scaling factor α+ jb determined by correlator 211 to the interference estimate I2, Q2 \o obtain a real part

{al2 -hQ2 ), which is subtracted from the in-phase part of the sampled signai of interest ( /I ) in subtracting circuit 110a, and an imaginary part (bJ2 + aQ2 ), which is subtracted from the quadrature component of the sampled signaf of interest ( Q] ) in subtracting circuit 110b, to obtain interference-reduced complex signa! samples (I _n , Q ₀ ) In the receiver circuit pictured in Figure 2, the IF was assumed to be such that the image response of first mixer 204 could be suppressed by RF filters 101 and 103 In other words, the IF was assumed to be higher than one-half of the composite bandwidth of these filters If ₁ however, the IF is selected to be a lower frequency, then the image response would instead need to be suppressed by using an image rejection mixer instead of a simple mixer 204 This option is illustrated in the receiver circuit of Figure 3

In the circuit of Figure 3, a second bandpass filter 103, after the low-noise amplifier 102, once again becomes optional Image noise from low-noise amplifier 102 may instead be suppressed by use of an image rejection mixer 304, which comprises a pair of mixers, driven in quadrature by a quadrature voltage-controlled oscillator 305 The outputs of the quadrature mixers are combined using a Hiibert network 320a The Hilbert network 320a combines the output of the two mixers with a relative 90-degree phase shift over the band of interest, i e , the IF bandwidth of the wanted signa! For example, it may apply a +45 degree phase shift to the signal from one mixer, and a -45 degree phase shift to the other mixer signal, before adding them The summed signal comprises the desired downconverted signal, with any image signal suppressed In addition, the summed signal includes non-linear interference due to strong signal breakthrough, as a result of the distortion mechanisms described earlier

In adherence to the principle of treating the interference estimate from distortion waveform generator 106 the same as the desired signal, a copy of the Hilbert network 320a may be provided (as shown at 320b) tn the interference path In this case, both inputs of the Hilbert network would be connected to the output of non-linear function 106 However, this implementation is not necessary if the Hilbert network 320a provides a constant phase shift for both mixer signals over the IF bandwidth A constant phase shift difference between the signal path and the interference path is captured by the complex correlation process at correlator 21 1 , it is thus unnecessary to have a Hifbert network 320b m the interference path to ensure phase matching

This operation may be explained mathematically as follows Suppose the non-linear distortion products from the upper mixer of image rejection mixer 304 includes a distortion signal D , in the intermediate frequency band, which is scaled by a and changed in phase by θ in Hiibert network 320a Suppose further that the same distortion term appears in the lower mixer of image rejection mixer 304, apart from being scaled by β and changed in phase by φ Then the combined distortion of both mixers presented to bandpass filter 207a may be given as D (a e ^>0 + β e ^ιφ ) However, if there are no other amplitude or phase differences between the intermediate frequency signal processing and the estimated distortion waveform processing, then the term a e ⁱ⁰ + β e' ^φ is simply the complex scaling factor a+ /b determined by correlator 211 A more compiex solution would thus only need to be considered if the distortion from the two mixers could be characterized simply as different scalings of the same waveform In such a case, two or more distinct non-linear functions may need to be approximated by distortion waveform generator 106, in order to mimic separate non-linearities for each mixer

Figure 4 illustrates another exemplary receiver circuit that is similar to circuit of Figure 3, but using quadrature bandpass samplers 401 a and 401 b in place of the quadrature downconverters of Figure 3 Those skilled in the art will appreciate that the receiver of Figure 4 is similar to the receiver of Figure 3, up to the outputs of band-pass filters 207a and 207b

However, in the exemplary receiver of Figure 4, the outputs of filters 207a and 207b are input to quadrature samplers 401a and 401 b

These quadrature samplers 401a and 401 b receive timing signals from quadrature sampling generator 431 The timing signals ensure that samples are taken in pairs, each pair preferably separated by a whole number of cycles of the intermediate frequency, and that each member of the pair is separated from the other by an odd number of quarter cycles Thus, cosine (in-phase) and sine (quadrature) components of the IF signal are sampled alternateiy, and digitized by ADCs 109a and 109b Interference subtraction circuit 450 includes demultiplexing switches 402a and 402b, which may be synchronized by quadrature sampling generator 431 , to separate the digitized samples into I and Q sampie pairs for complex number processing at complex correlator 411 and complex multiplier 412 Although not shown, such processing may include, as is known in the art, a "de-skewing" operation, which compensates for the fact that I and Q are not sampled at the same instant This de-skewmg operation may be done, for example, by interpolating between successive I values and between successive Q vafues to a common sampling instant in between

Using Figures 1 to 4, several variants of a receiver circuit configured to reduce interference from intermodulation distortion have been described Each of these circuits provides means by which strong-signal interference effects in near-zero-intermediate frequency radio receivers may be compensated Of course, those skilled in the art will appreciate that the illustrations are not necessarily exhaustive, and many variations may be made by a person skilled in the art without departing from the scope of the invention as described by the attached claims

With that in mind, Figure 5 illustrates an exemplary method for reducing interference from intermodulation distortion in a receiver Those skilled in the art will recognize that the method illustrated in Figure 5 may be implemented using various embodiments of the receiver circuits described above The method of Figure 5 begins at block 510, with the downconversion of a received RF signal to an intermediate frequency Those skilled in the art will appreciate that a quadrature downconverter may be used in some embodiments, in which case the intermediate frequency signal may comprise an ιn-phase part and a quadrature part In other embodiments a single mixer may be used at this stage, or an image rejection mixer may be used, resulting in a single intermediate frequency signal In any event, as discussed above, the received RF signal may comprise one or more interfering signals, as a resuit, the resulting intermediate frequency signal may include one or more intermodulation products of the interfering signals at or near the intermediate frequency

At block 520, an estimated distortion waveform is generated, to approximate one or more of these intermodulation products As was discussed above in reference to Figure 1 , the estimated distortion waveform may be generated by a rton-Ssnear circuit configured to approximate one or more non-linear response characteristics of the downconverter circuit In some embodiments, the non-linear ctrcutt may comprise two or more separate non-linear functions, e g , one that produces a square-law non-lsneaπty and another that produces a third- order non-linearity In other embodiments, a single non-linear circuit, e g , a non-imear circuit that produces a dominant square-law non-linearity, may be sufficient

In any event, at block 530, the intermediate frequency signal and the estimated distortion waveform are each (separately) filtered, using identical (or substantially similar) filters Thus the phase and amplitude response experienced by the intermediate frequency signai is also imposed on the estimated distortion waveform At biock 540, the filtered intermediate frequency signal and the filtered distortion waveform are sampled to obtain a sampled signal of interest and a sampled distortion signal, respectively As those skilled in the art will appreciate, especially in view of the various circuits described above a number of approaches to sampling the intermediate frequency signal and the estimated distortion waveform may be used For example, in some embodiments, particularly those employing low intermediate frequencies, the intermediate frequency signal (which may comprise tn-phase and quadrature parts) may be sampled and digitized at the intermediate frequency, using an analog-to-digital converter with an appropriate sampling bandwidth in these embodiments, a similar analog-to-digita! converter is also used to digitize the distortion waveform

In other embodiments the filtered intermediate frequency signal may be sampled using a quadrature sampler operating at the intermediate frequency The resulting samples of the signal of interest may be digitized with an analog-to-digital converter In these embodiments, an alternating sequence of m-phase and quadrature samples may be de-multiplexed to produce in- phase and quadrature samples of the distortion waveform Again, similar circuitry may be employed for the distortion waveform In still other embodiments, the intermediate frequency signal and the distortion waveform may be downconverted to baseband, using quadrature downconverters, and digitized, resulting in ιn-phase and quadrature samples of the intermediate frequency signal and of the distortion waveform

At 550, the sampled distortion waveform is scaled, using a scaling factor In view of the various receiver circuits discussed above, those skilled in the art will appreciate that such scaling may comprise applying a complex scaling factor to complex samples of the distortion waveform in some embodiments of the invention In others, a first scaling factor may be applied to the sampled distortion waveform for use in reducing interference in ιn-phase samples of the signal of interest, while a second scaling factor is applied to the sampled distortion waveform for use in reducing interference in corresponding quadrature samples of the signal of interest Finally, at block 560, the scaled distortion signal samples are subtracted from the sampled signal of interest to obtain interference-reduced samples Again considering the various circuits discussed above those skilled in the art will appreciate that this subtraction operation may comprise a single subtraction of a single complex value from a complex signal of interest, or separate subtraction operations for each of an ιn-phase sample of the signal of interest and a quadrature sample of the signal of interest Skilled practitioners will also appreciate that the scaling factor or factors used in the general method pictured in Figure 5 may be obtained in various ways One exemplary approach for determining and applying a scaling factor is pictured in Figure 6 The skilled practitioner will recognize variants of this method that may be implemented using each of the circuits of Figures 1-4 The method of Figure 6 begins with processing of a filtered intermediate frequency - thus it is assumed that the operations pictured in biocks 510, 520 and 530 have already taken place Accordingly, block 610 illustrates the downconversion of the filtered intermediate frequency signal, using a quadrature downconverter, to obtain ιn-phase and quadrature signals at baseband frequencies This downconversion may be implemented, for example using the quadrature downconverters 209 pictured in Figures 2 and 3 At block 620 the ιn-phase and quadrature signals are sampled and digitized, using analog-to-digital converters such as ADCs 109a-b in Figures 2 and 3 Corresponding downconversion and sampling operations (not shown) are performed on a distortion waveform At block 630, the ιn-phase and quadrature samples of the signal of interest are combined, to form a complex sample, and correlated with a complex representation of the sampled distortion signal to obtain a complex scaling factor The complex scaling factor is used to produce a scaled sampled distortion signal, as shown at block 640, which is subtracted from the complex samples of the signai of interest

Those skilled in the art will appreciate that several of the processing steps discussed above may be performed with one or more general-purpose or special-purpose microprocessors, microcontrollers, or digital signal processing units For example, several of the circuits pictured in Figures 1-4, including but not limited to the correlator circuits 111 , 211, 411, complex multiplier circuits 120, 212, and 412, phase rotation generator 130, demultiplexing switches 402, and subtraction circuits 11 O ₁ may be implemented with programmable processing units, with hardware logic circuits, or a combination of both One or more of these circuits may be implemented on an application-specific integrated circuit (ASIC) along with one or more additional circuits pictured in Figures 1-4 Further, any of these circuits may be combined with one or more processors and/or hardware configured to control the receiver circuitry and/or to implement a wireless protocol stack according to one or more wireless standards

The above describes reducing strong signal interference in a narrow-band signal downconverted to a low IF processing frequency The present invention also applies to reducing strong signal interference in a wideband signal downconverted to any desired processing frequency, e g , baseband, IF, low IF, high IF, etc For wideband signals, such as Orthogonal Frequency Division Multiplex (OFDM) signals, it may be difficult to determine three adjustment factors (e g , complex scaling factor, phase rotation, and time delay) that are accurate over the entire signal bandwidth, especially if the filter mismatches are not rectified by a single phase rotation and complex scaling factor The mismatch may be due to a mismatch in the filters' impulse responses or frequency responses, both of which are linear effects

In some cases, a iinear mismatch may be corrected by applying a frequency response correction digitally to either the estimated distortion waveform or to the desired signal, e g , using an FiR filter In effect, correlation between the estimated distortion waveform and the desired signal is performed for more than one time delay, and a complex scaling factor thereby obtained for each time delay such that upon subtraction of each scaled and phase rotated and differently time-shifted version of the estimated distortion waveform from the desired signal, the interference is now cancelled more accurately across the entire bandwidth of the desired signal The present invention may alternatively compensate for the interference by dividing the desired wideband signal into its individual frequency channels, and performing frequency channel specific interference compensation To separate the wideband signal into its individual frequency channefs, the wideband signal is subjected to a Fourier Transfoim, e g , a Discrete Fourier Transform (DFT), after ADC conversion to divide the samples of the desired signal into a number of equal spaced, narrow frequency channels Similarly, the estimated distortion waveform is subjected to a Fourier Transform to divide the samples of the estimated distortion waveform into the same number of equal spaced, narrow frequency channels Now each frequency channel of the estimated distortion waveform may be scaled and subtracted from the corresponding frequency channel of the desired signal using a different complex scaling factor determined for that specific frequency channel In this case, only a scaling factor and a phase rotation are determined for each frequency channel, as a time delay is equivalent to a phase rotation that changes wrth frequency and is incorporated in the chosen phase rotations Furthermore, if the scaling factors, which are now reduced to a single complex number a+ jb per frequency channel, are used only to compensate for fixed filter mismatches, the scaling factors may be determined using an infrequent calibration procedure, such as a factory calibration procedure or a power-up calibration procedure An overall scaling factor may still be determined adaptively, e g , by correlation, to ensure accurate subtraction of interference The above may be adequate for linear mismatches However, there may also be nonlinear effects due to the interference mechanisms being different for different frequency channels of the OFDM spectrum according to whether, after frequency downconversion, the frequency channels lie around DC or near the edge of the bandwidth However, if a separate complex scaling factor is used for each OFDM frequency channel, adaptfvely determining the scaling factor separately by correlation for each frequency channel will also take care of such non-linear effects

Figure 7 shows one exemplary receiver that compensates for strong signal interference sn a wideband signal according to the present invention A signal received by an antenna ss filtered through antenna filter 101 amplified by low-noise amplifier 102, optionally filtered again through inter-stage filter 103, and then quadrature-downconverted by mixers 104a, 104b against a local oscillator from Quadrature VCO 105, as discussed above The signal is also submitted to distortion waveform generator 106, which creates an estimate of the non-linear distortion products in mixers 104a, 104b Distortion waveform generator 106 does not generate a desired signal output because it does not mix the input signal down against the local oscillator signal from QVCO 105 Thus, the output from the distortion waveform generator 106 comprises only the unwanted interference components

The desired signals from mixers 104a, 104b and the estimated distortion waveform from distortion waveform generator 106 are all filtered using similar intermediate frequency or baseband fitters 107 a, b c, which may include any or all of low pass, high-pass, and/or bandpass filters Filters 107 a, b, c may comprise low pass filters if the receiver is designed to downconvert the desired OFDM signal to a processing frequency that straddles zero frequency (DC) If the OFDM signal is downconverted so as to avoid having desired components at DC, then filters 107 a, b, c may include a high-pass component This situation may occur, e g , when all desired frequency channels lie on one side or the other of DC (the low-IF solution), or when no frequency channel is converted down to lie at zero frequency, or if the frequency channel that would lie at zero frequency is deliberately omitted or unused The combination of high-pass and low-pass filtering may also sometimes best be realized wrth a bandpass filter The filtered baseband signals are then Analog-to-Digital converted in ADC converters

109 a b c at the same sample rate using the same sampling clock Sample memory 700, which serves as a serιai-to-paral!e! converter, collects the samples Desired signal samples output by ADC converters 109a, 109b are denoted 1\, Q\ , and are collected into a block of complex values by sample memory 700 that are Fourier Transformed by DFT 710a to yield complex values for the individual OFDM frequency channels Estimated distortion waveform samples output by ADC converter 109c are denoted by /2 The estimated distortion waveform samples only include reai values, and therefore, do not contain a corresponding source of quadrature values (ι e , Q - 0) A block of values 12, Ql of the same size as the block of I\, Q] values is assembled and Fourier transformed in DFT unrt 710b to yield estimated distortion waveform samples for each OFDM frequency channel Because the estimated distortion waveform values do not include any quadrature values, the quadrature input to DFT unit 710b is connected to ground or otherwise set to zero, omitted, or ignored in the subsequent calculation

The outputs of DFT units 710a, 710b are like-sized blocks of complex numbers denoted by /3,ρ3 and 14, Q4 , respectively The blocks of J3, Q3 and 14, QA values are jointly processed by interference compensator 800 to subtract from the desired signal in each frequency channel a scaled and phase-adjusted veision of the same frequency channel's estimated distortion waveform to obtain interference compensated signals for each OFDM frequency channel The interference compensated signals for each OFDM frequency channel are then passed on for decoding in a decoder (not shown)

In order to derive the function performed by compensator 800, it is helpful to bear in minds the following assumptions

(1) The non-linear interference mechanisms in mixers 104a, 104b are substantially identical for a given frequency channel, but may vary across the frequency band (2) Mismatches in the linear filters 107a, 107b may cause a slight difference in amplitude or phase, both of which may be described by a complex scaling factor Cι{k) for the In-Phase channel and Cq[k) for the Quadrature channel, where k is the frequency channel index

(3) The distortion waveform generator 106 successfully mimics the non-linear interference mechanisms of msxers 104a, 104b apart from a scaling factor and phase shift per frequency channel, which also describes any mismatch between filter 107c and its counterparts in the desired signal processing path The scaling factors may be absorbed into the scaling factors Ci(k) , Cq (k) , which thus describe the complex scaling per frequency channel of the estimated distortion waveform necessary to match the interference in the desired signal channels.

Thus, the frequency channel component k of signal IX includes an amount of interference equal to Ci (k) times the frequency component k of signal 12 . Similarly, the frequency channel component k of signal Q\ includes an amount of interference equal to Cq(k) times the frequency component k of signal 12 .

Components at frequency k of the real estimated distortion waveform /2 may be denoted by: Ic(k)cos(w _k ή + h(k)s\n (w _k ή = 0.5(lc(k)-βs(k))e ⁿ ' ^'i ' +0.5(lc(k) + jl.s(k))e ^{~ μv} . (5)

Thus, the real estimated distortion waveform may be seen as comprising a complex exponential at +w _t of amplitude 0.5 (/<?(&)- /& (A)) , and a complex exponential at -W ₁₁ . of amplitude 0,5 (/c (Zr) + jϊs(k)) . The term (/c(&) --./7,v(/f)) may be regarded as the amplitude 12{k) of the complex exponential at +u> _t . Likewise, [lc{k) + jl.s(k)} may be regarded as the amplitude /2 (-k) of the complex exponential at the mirror frequency ~w _k .

Multiplying the scaling factor C7(£) by /2(£) gives the value of the interference in /I (A-) at frequency +w _t , taking into account mismatches, as shown by Equation (6).

/! {*) = C7(*)/2 (*) (6)

Similarly, there is a component /I (-&) = Ci(-k) l2 (-k) at ~w _t , For real signals, mirror image components are always complex conjugates of each other. Thus,

Ci(~-k) = Cf (A ) . It will be appreciated that the same logic may be applied to the quadrature element to show that the corresponding components of Q\ may be given by:

0l (*) = G7 (*)/2(A)

At the output of DFT unit 710a, the frequency channel components for the desired signal are resolved, with (/3 (Zr). Q3 (Zr)) being the result of applying /I (A-) to the in-phase input and

Q] {k) to the quadrature input. DFT unit 710a regards the input (/I, {71) as equal to I\ + jQ\ . The component of the DFT unit output at frequency +w _k is thus:

{B{k).,Ql{k)) ^ Ci(k)n(k) + jCq{k) l2{k) _^ {Ci{k) + jCq(k))l2{k), (8) and the component at -ii', is: (n^k) _i Q3 ^k)) = a{~k)l2{~k) ₊ jCq{-k)j2(-k) = (Ci{-k) _{+ J} r: _q (-k))l2(~k) . (9)

DFT unit 710b calculates the value of the complex amount /2(A) of frequency +w _k in its input signal and delivers the result as [I4(k) + JQ4(k)) where 14 and QA are real values that respectively equal the real and imaginary parts of I2 (k) . in order to reduce the strong-signal interference in the desired signal samples, we have to find scaling factors Ci (k) , Cq (k) that satisfy:

B{k) + jQl{k) ÷(Ci{k) + jCq{k))(l4{k) + jQ4{k)) . (10)

Letting C(k) ~ d(k) + jCq{k) ~ a{k) + jb(k) , where a and b are real, it is thus desirable to find C(k) = a(k) + jb(k) that satisfies: B{k) + jQ3{k) = C(k)(l4{k) + jQ4{k)) (11)

In one embodiment, the complex scaling factor C{k) may be found by complex- correiating (/3(A) + JQ3(k)) with (l4(k)-\- /Q4(k)) over a sufficient number of OFDM symbol periods for the desired signal content of (/3 (k) + jQI (A)) to average to near zero. That is: ^' where a similar result applies to C(~k) .

The above shows that compensating ail impairments across all frequency channels of a wideband signals reduces to performing a complex correlation between corresponding frequency channel bin outputs of DFT units 71Ob ₁ 710a to determine the complex scaSing factor C (Zf) used to scale the output (l4(k),Q4(k)) of DFT unit 710b to sufficiently subtract the interference from the corresponding output (/3 (A), Q3(k)) of DFT unit 710a. This operation is performed for all bin indices k , including mirror image bins with index -k . When the complex scaling factor is accurately determined, the output (/3 (A), Q3 (k)) comprises an interference compensated desired signal for each frequency channel k .

Note that Ci(-k) = Ci' (k) and Cq{-k) ~ Cq (k) . Therefore, C{-k) = Cf (k) + jCq ^* (k) , which is not equal to C ^* (k) , Hence the correlation is done for the

+k and -k frequency channels separately, and no assumption about conjugate symmetry of the results is made. Simply expressed, every complex frequency channel value output from DFT 710a is correlated with the corresponding frequency channel value output from DFT 710b to determine a complex scaling factor used to scale the estimated distortion waveform output by DFT 710b to obtain a compensating vafue to subtract from the desired signal output by DFT 710a

Figure 8 illustrates an exemplary block diagram for an interference compensation unit 805 in compensator 800 Interference compensation unit 805 comprises cross-correlator 810, autocorrelator 820, averaging units 830, 840, divider 850, multiplier 860, and combiner 870 The desired complex signal samples for a given frequency channel output by DFT unit 710a is represented by X , and is input to one input of cross-correlator 810 The estimated distortion waveform samples for the same frequency channel output by DFT unit 710b ?s represented by

Y , and is applied to the other input of cross-correlator 810 Cross-correlator 810 correlates X with Y by multiplying X by the complex conjugate of Y Autocorrelator 820 likewise correlates

Y with itself by multiplying Y by its complex conjugate The outputs of correlators 810, 820 are averaged separately in averaging υnrts 830, 840 over a large number of OFDWl symbol periods Averaging units 830, 840 may average the correlator outputs over a rectangular block moving window Alternatively, the averaging units 830 _s 840 may employ exponential forgetting Both of these averaging options are well known and involve only updating the current average using the new values Divider 850 divides the average output by averaging unit 840 by the average output by averaging unit 830, the latter being a real quantity, to produce an output which represents the complex correlation of X with Y This value is represented herein as the scaling factor C(£) Multiplier 860 scales the estimated distortion waveform Y by multiplying it by the complex correlation value C(k) output by divider 850 Combiner 870 subtracts the scaled estimated distortion waveform from the desired signal OFDM frequency channel value X to give interference-compensated OFDM signal for that frequency channel

The function of Figure 8 is repeated for all desired signal OFDM frequency channels to produce a set of compensated OFDM frequency channel values for decoding user data !n one embodiment, the interference compensation function may be implemented for each frequency channel by including one interference compensation unit 805 for each frequency channel in the interference compensator 800 In another embodiment, compensator 800 may include a ssngie interference compensation unit 805, where software is used to serially pass the desired signal and estimated distortion waveform signal samples for each frequency channel through the interference compensation unit 805 In still another embodiment, compensator 800 may use a combination of software and interference compensation units 805 to execute the interference compensation function for each frequency channel

Although the above describes generating and applying a scaling factor for each frequency channel, the present invention is not limited to this implementation The present invention generally applies to a selected number of frequency channels, where the selected number may comprise all of the plurality of frequency channels or some subset of the plurality of frequency channels In some embodiments, scaling factors are generated and appised to only a selected subset of frequency channels, e g . the low frequency channels In other embodiments, computational savmgs may be achieved by exploiting similarities associated with neighboring frequency channels. For example, compensator 800 may assume that the scaling factors for two or more adjacent frequency channels are essentially equivalent Thus, to save computing power, the compensator 800 may determine a scaling factor for a selected number of frequency channels less than the total number of frequency channels, and may reuse the determined scaling factor for the remaining frequency channels For example, compensator 800 may determine a new scaling factor for every fourth frequency channel Thus, frequency channels one, two, and three may all use the scaling factor determined for frequency channel one. Alternatively, frequency channels one, two, and three may all use an average scaling factor obtained by averaging some number of determined scaling factors, e.g , the first and fourth scaling factors it will be appreciated that any combination of the above-described embodiments may also be used to implement the present invention

Thus it has been described how non-linear, strong signal effects in a wideband OFDM homodyne, low-IF, or conventional receiver may be reduced, thereby providing the receiver with an improved strong-signal handling capability. Such interference rejection capabilities for wideband signals may be important in designing low-cost, low-power receivers for battery operated handheld wireless devices

The invention anticipates that strong signal effects may depend on whether the receiver is a homodyne receiver, which only would apply for the OFDM frequency channel value that mixes down to an intermediate frequency of zero, or alternatively to a so-called low-IF receiver in which the signal mixes down in the quadrature downconvertor 104a, 104b to an intermediate frequency that is not zero, but that is less than the total RF bandwidth, or yet again to a high-iF receiver in which the signal mixes down to an IF greater than the total RF bandwidth imposed by antenna and inter-stage filters. Indeed, different frequency channels of the OFDM signal may fall into different ones of the categories of homodyne, low-iF, or higb-!F, which the invention handles by using a separate compensating calculation adapted to the frequency of each OFDM frequency channel The invention may thus be applied to cases where the quadrature downconverter 104a, 104b converts the desired OFDM frequencies to frequencies all on the positive side of zero, all on the negative side of zero frequency, or straddling zero frequency with some frequency channels on both sides of zero

Figures 7 and 8 show a receiver circuit configured to reduce interference from intermodulation distortion sn an OFDWl signal The receiver circuit provides a means for reducing strong-ssgnal interference effects in wideband receivers, e g , OFDM receivers, operating at any processing frequency (e.g., baseband, low IF, IF, high SF, etc ) Of course, those skilled in the art will appreciate that the illustrations are not exhaustive, and many variations may be made by a person skilled in the art without departing from the scope of the invention as described by the attached claims Further, those skilled in the art will appreciate the embodiments of Figures 7 and 8 may be modified to according to the teachings of the near-

IF receiver circuits of Figures 1 - 4

With that in mind, Figure 9 shows an exemplary method for reducing interference from intermodulation distortion in a wideband receiver Those skilled in the art will recognize that the method illustrated in Figure 9 may be implemented using various embodiments of the receiver circuits described above The method of Figure 9 begins at block 910 ₁ with the downconversion of a received RF signal to a processing frequency Those skilled in the art will appreciate that a quadrature downconverter may be used in some embodiments, in which case the intermediate frequency signal may comprise an sn-phase part and a quadrature part Because the received RF signal may comprise one or more interfering signals, the resulting signal may include one or more intermodulation products of the interfering signals at or near the processing frequency.

At block 920, an estimated distortion waveform is generated, to approximate one or more of these intermodufation products, as discussed above. At block 930, the desired signal and the estimated distortion waveform are each separately filtered, using identical (or substantially similar) filters Thus, the phase and amplitude response experienced by the desired signal is also imposed on the estimated distortion waveform At block 940, the filtered desired signal and the filtered distortion waveform are sampled, to obtain a sampled signal of interest and a sampled distortion signal, respectively As those skilled in the art will appreciate, especially in view of the various circuits described above, a number of approaches to sampling the desired signal and the estimated distortion waveform may be used

At block 950, the sampled signal of interest and the sampled distortion signal are both divided into a plurality of frequency channels As discussed above, a discrete Fourier transform unit may be used to achieve the frequency channel division At biock 960, the sampled distortion signal for each frequency channel is combined with the sampled signal of interest for the same frequency channel to obtain interference-reduced samples for each frequency channel

Of course, the present invention may be carried out in other ways than those specifically set forth herein without departing from essential characteristics of the invention The present embodiments are thus to be considered in all respects as illustrative and not restrictive, and all changes coming within the meaning and equivalency range of the appended claims are intended to be embraced therein