BACKGROUND AND SUMMARY OF THE INVENTION A spread spectrum system is a wideband system in which the entire frequency bandwidth of the system is available to each user all the time. The system expands or spreads the bandwidth of the transmitted information much more than the minimum bandwidth required to transmit the baseband data. The spreading of the data is performed using a spreading sequence, sometimes called a spreading code. Each user in the frequency bandwidth is distinguished from other users by the allocation of different spreading codes to each. Code Division Multiple Access (CDMA) systems are one kind of spread spectrum system.

Just as a CDMA transmitter spreads a signal across a bandwidth, a CDMA receiver compresses or de-spreads the received signal bandwidth in order to recover the original information. Since different users employ different spreading codes their respective transmissions can be separately decoded at a receiving station.

Spread spectrum systems have a number of advantages. First, CDMA receivers can diversity combine separate multi-paths using a RAKE receiver. A RAKE receiver enhances the capture of the received

signal energy by allocating one of a number of parallel demodulators (referred to as"fingers") to each of the strongest components of the received multipath signal. The outputs of all the RAKE fingers are combined (taking the best from each finger) after a corresponding delay compensation to construct an optimum received signal.

Second, CDMA systems tolerate interference up to a certain threshold limit. The introduction of additional active mobile radio transmissions to the CDMA system increases the overall level of interference at the cell site receivers (base stations) receiving CDMA signals from the mobile radio transmitters. Since all users employ the same frequency bandwidth, it is important that no one user dominates the bandwidth with high relative power transmission. The particular level of interference introduced by each mobile's transmission depends on its received power level at the cell site, its timing synchronization relative to other sites at the cell site, and its specific cross-correlation with other transmitted CDMA signals. For that reason, power control is very important in CDMA systems. Typically, power control attempts to achieve a constant mean power level for each mobile user received at a base station taking into account the transmission power at the mobile and the pathloss from the mobile to the base station.

The CDMA base stations control mobile transmit power of each mobile user based on Signal-to-Interference Ratio (SIR) measurements of mobile transmission received at the base station. The SIR is defined as the ratio of the data bit energy (Eb) to the interference (including noise) power spectral density (IO).

SIR measurements are compared with a reference Eb l lo value, and depending on the result, the mobile is ordered to increase or decrease its transmit power by some predetermined amount, (e. g., 1 dB).

Other kinds of SIR measurements can be used to adjust the reference Eb l l o level in order to achieve a specified frame error rate at the base station.

Thus, to ensure that no mobile station dominates the bandwidth by using excessive power levels, the system measures or determines Eb and 1"values for each mobile. Based on those measurements, the system instructs the mobiles to adjust their power levels to appropriate, non-dominating values.

An estimation of data bit energy Eb can be performed after de- spreading and RAKE combining in the receiver. Depending on the SIR measurement application, it may be performed using a short or a long averaging period. A short averaging period is used when the Eb value is measured using only pilot preamble symbols transmitted at the beginning of each time slot within a data frame. For long-term SIR measurements, Eb values obtained for the pilot preamble and for each individual data symbol are averaged over the time slot period, and Eb values obtained from all slots are averaged at the end of the frame to produce the final long term Eb measurement value.

In both short and long term SIR measurement, the interference power Io may be averaged over a number of frames. More specifically, lo may be obtained by correlating the input signal multiple times with an uncorrelated (in the ideal case, orthogonal) spreading code or with

time-shifted versions of the original spreading code used at the transmitter and averaging the multiple, squared, absolute correlation values over the number of frames.

The accuracy of the received signal level, interference level and received signal energy measurements and estimations are very important in the CDMA system to ensure good signal quality and maximum system capacity."Adaptive Path Selection Threshold Setting for DS- CDMA Receivers"by Schulist et al is a prior method of interference level measurements. It, however, exhibits larger errors as Eb l lo increases, as shown in the graph of Figure 1. As shown in Figure 1, as Eb I lo increases, measurement error of the received interference level is dramatic. It is likely caused mainly by non-zero auto-correlation of the spread sequence, namely pn (K) * pn (K + T) W 0 whens # 0 where pn (K) is the spreading code for sample index K and pn (K+T) is the spreading code for an incremented (non-zero) sample index. The mean error shown in Figure 1 depends on the received signal level and increases as Eb I lo increases.

"Base Station Demodulator,"by Ning He, illustrates and describes the specific structure of a demodulator that may form the basis for SIR measurement, estimation and correction in the present CDMA system."Base Station Demodulator"also describes, beginning for example at page 23 and continuing, power and interference estimations and corrections. The measurement of received signal level provided by the methods described in that publication saturates at low Eb I l o values, as shown in Figure 2. Figure 2 illustrates that the relation between actual and estimated SIR is approximately linear for input

values above about 10dB ; however, below lOdB, the SIR measurement values saturate.

Saturation of SIR values is problematic in that the measured SIR value will be used by the base station to instruct the mobile to adjust its transmission power levels. Where the measurements linearly track the ideal SIR, the instructions from the base station will accurately reflect proper adjustments for the true input signal strength. But, at levels where the curve is saturated, the base station may provide power level adjustment instructions that bear little relation to the true input signal levels. At worst, the saturation can cause an unstable power control loop for certain input signal levels.

In the case of Figure 2, the measurement error of the received signal level is caused mainly by the noise/interference component in the measurement. The mean error depends on the interference level and increases as Eb I lo decreases.

A combination of the signal measurements (Figure 1 and interference measurements (Figure 2) yields an SIR with saturation problems at both the upper and lower input values, as shown in Figure 3.

There, linearization between actual and measured SIR values is poor across most of the curve, but especially so below about 5dB and above about 20dB.

U. S. Patent Application No. 09/038,067 (filed March 11,1998, Atty. Ref.: 2380-42), describes a piece-wise linearization method for correcting SIR measurements. Its method is quite sensitive in the saturation regions. In an example embodiment of that disclosure, an SIR correction function includes a linear part and a non-linear part, with

the non-linear part corresponding to an inverse of an exponential function that approximates a non-linear portion of a curve corresponding to measured SIR values. In a second example embodiment, the linear part of the SIR correction function further includes first and second linear components to improve the accuracy of the correction function in certain situations. The parameters in the correction function in both of the first and second example embodiments are selected to minimize error between corrected SIR values and corresponding actual or ideal SIR values.

The present invention provides an alternative method of correcting SIR values in which the signal strength value and interference value are corrected separately. Since the errors associated with signal strength measurements and those associated with interference estimates derive from different sources, independent correction is found to provide improved overall SIR correction. Thus, unlike"Base Station Demodulation"where SIR per se is corrected (see for example equation 34 therein) and"Correction of signal-to-interference ratio measurements"by Popovic, where SIR per se is also corrected (see for example equations 3 and 4 and associated text), the present invention corrects the SIR by first correcting signal and interference values independently and then combining the corrected signal and corrected interference into a corrected SIR.

BRIEF DESCRIPTION OF THE DRAWINGS These and other objects, features, and advantages of the present invention will now be described in conjunction with the drawings in which:

Fig. 1 is a graph of a prior art comparison between measured interference levels versus actual interference levels; Fig. 2 is a graph of a prior art relationship between measured average relative signal power and actual relative signal power; Fig. 3 is a graph representing a combination of the signal strength measurements of Figure 2 with the interference measurements of Figure 1 into a measured SIR value versus actual SIR value representation; Fig. 4 is a graph of measured interference versus actual interference in accordance with the present invention; Fig. 5 is a graph of a relationship between measured signal power and actual signal power in accordance with the present invention; Fig. 6 is a graph illustrating a combination of the signal graph of Figure 5 and the interference graph of Figure 4 into a relationship of measured SIR versus actual SIR in accordance with the present invention; Fig. 7 is a CDMA cellular phone system into which the present invention may be incorporated; Figs. 8 is a demodulator of a base station into which the present invention may be incorporated; and Fig. 9 is a flowchart illustrating an example embodiment of the present invention.

DETAILED DESCRIPTION OF THE PRESENTLY PREFERRED EMBODIMENT Figure 7 illustrates an example CDMA cellular radio telephone system in which the present invention may be employed. In general, the CDMA system 11 employs spread spectrum techniques to modulate and de-modulate communications between the mobile stations MS and base stations BSl, BS2,... BSn. The system control and switch 12 controls the communications between the base station BSl, BS2... BS9 to other networks 10 including, for example, public switch telephone networks, the Internet, etc. The system control and switch 12 also facilitates communications between the base stations BS,, BS2,... BSn.

As is well known, each base station BS, BS2,... BSn generally services an assigned geographical cell area. As the mobile stations MS move in and out of the various cells, they will establish communications with the associated base stations for communication with the other networks 10 and other mobile stations MS. When a mobile station enters the geographical area assigned to a particular base station, for example, base station BS2 in Figure 7, the mobile station establishes communication with the base station BS2. As described previously, one function of the base station BS2 and system 12 in facilitating communications within a particular cell is to ensure that transmission power levels at the base station BS2 are relatively uniform among the various mobile stations communicating within the cell. For this purpose, the base station BS2 takes frequent measurements of received signal strength for each mobile station in its geographic area and provides the associated mobile stations with the power control information. The power control information instructs the mobile station

to increase or decrease power levels in order to relatively unify the power level of any particular mobile station with those of the other mobile stations in the cell vis-a-vis the received signal strength at the base station BS2. The way in which the received signal strength and measured interference are obtained by the base station BS2 is not particularly critical to the present invention. An example method of how these signal and interference values may be measured in the first instance is described, for example, in"Base Station Demodulator: Releases R2 & R3 & R4"by Ning He.

As shown in Figure 8, a de-modulator 23 of, for example, a base station BS2, will receive signals from a mobile station via antennas 20- 21 and radio receiver 22. In the preferred embodiment, the receiver will take the form of a well-known RAKE receiver in which a signal from a mobile station is collected from a number of RAKE receiver fingers and combined in the RAKE receiver. Thus, in the RAKE finger receivers, signal energy from the multiple paths are detected by a searcher unit 24 and are collected in order to exploit the multi-path characteristics of the transmission channels. The de-modulator 23 also includes a de-spreading function which transforms the desired receive signal from the wide band representation associated with spread spectrum to narrow band representation suitable for signal information retrieval.

The signal detector 26 of the de-modulator 23 at the base station BS measure the received power level by compiling and processing the relative logical channel power levels delivered from the fingers of the RAKE receiver in each slot. The interference detector 27 may obtain Io by correlating the input signal a multiple number of times with an un-correlated (in the preferred case, orthogonal) spreading code and

averaging the multiple, squared, absolute correlation values over the number of frames. Alternatively, lo may be obtained by correlating the input signal multiple times with time-shifted versions of the original spreading code used at the transmitter and, again, averaging the multiple, squared, absolute correlation values over the number of frames.

At block 28 of the de-modulator 23, the measured Eb values from Eb detector 26 and the measured Io values from Io detector 27 are combined into the Eb I lo (SIR) value. The SIR values in the respective detectors are corrected in accordance with further aspects of the present invention described below, with respect to Figure 9. There, the SIR correction function begins at step 30. At step 31, Ki and Ks constants are determined and depend on the spreading code employed.

The values K ; and Ks can be carried out by, for example, simulation in order to determine their constant values. That is, the values Ki and Ks depend upon the measured SIR curve, the shape of which is the function of the spreading factor and the number of values used for non-coherent averaging. The parameters K ; and Ks are determined to minimize the maximum absolute error between the ideal and corrected SIR curves and can be determined using manual tests and observation or using available numerical optimization algorithms.

At step 32, the receive signal strength Eb is measured at the Eb detector 26. At step 23, the interference level Io is measured or estimated at the Io detector 27.

At step 34, the interference value/ is corrected by the factor Kie Eb in accordance with the equation: Icorr = Io-Ks Eb v where Eb is the received signal level, Io is the measured interference level, and Ki is a constant depending only on the spreading code and determined by simulation. Figure 4 illustrates a graph of the measured relative interference power Icorr after correction versus the actual interference power. One can see from Figure 4 that the corrected interference power closely tracks the actual interference power along a wide range of input signal values.

In a similar manner, the received signal strength Eb is corrected at step 35 of Figure 9 in accordance with the equation: Ecorr Eb-Ksllcorr, where leorr is the corrected interference level from the above equation, Ks is a constant depending only on the spreading code and determined by simulation, and Eb is the measured signal strength at the base station. Figure 5 is a graph of the measured relative signal power Ego, cafter correction at step 35 versus the actual relative signal power.

One can see that the corrected signal strength closely tracks the actual received signal power along a wide range of input signal strengths.

At step 36, the SIR value Ec,,,/Ico, is calculated using the values obtained at steps 34 and 35. That is, instead of a measured SIR value being corrected per se, the signal value per se and the interference value per se are corrected in accordance with steps 34 and 35 and the SIR

value is then, thereafter, obtained at step 36. Figure 6 is a graph of the SIR value obtained at step 36 after correction versus the actual SIR value. As one can see from Figure 6, the corrected SIR value closely mirrors the actual SIR value along a wide range of input signal values.

In comparison to Figure 3, where the measured SIR value deviates significantly from the actual SIR value, and provides substantial saturation portions in the high and low SIR regions, Figure 6 shows marked improvements in the linear tracking of the corrected SIR value versus the actual SIR value. In particular, as shown in Figure 6, the saturation regions at the upper and lower ends of the curve of Figure 3 have been essentially removed. Thus, more precise and reliable power control can be provided in accordance with the present invention than can be provided by the embodiment of Figure 3.

Even compared to the SIR correction measurements of U. S.

Patent Application No. 09/038,067, where the SIR value is corrected as a whole rather than as its respective components, one can see good improvement in the linearity of the after correction SIR values. This is shown, for example, by comparing Figure 6 of the present invention (where the corrected SIR value closely tracks and smoothly tracks the actual SIR value) to the similar curve in Figure 6 of U. S. Application No. 09/038,067 (where saturation regions have been well-compensated but some non-smooth irregularity remains).

It is thus apparent that, since signal power and interference measurements have associated errors caused by different sources, it is advantageous to correct them independently of each other prior to combination into a corrected SIR value, rather than calculating the SIR value and thereafter providing correction techniques.

While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.