Title:
LEARNING DEVICE FOR DISTORTION COMPENSATION CIRCUIT, AND DISTORTION COMPENSATION CIRCUIT
Document Type and Number:
WIPO Patent Application WO/2022/185505
Kind Code:
A1
Abstract:
Provided is a distortion compensation circuit capable of suppressing divergence in an operation performed by means of an iterative operation in iterative learning control processing. A learning device (12) for a distortion compensation circuit provided with a predistorter (11) into which a transmission signal is input is provided with a behavior model generating unit (121) for generating a behavior model of a power amplifier, a teacher data generating unit (122) including a behavior model unit (1223) for holding the generated behavior model, and an iterative learning control unit (1221) for generating teacher data serving as an input signal to the power amplifier, by performing iterative learning control processing using an error between the transmission signal and an output signal from the behavior model unit, and a coefficient updating unit (123) which is provided with a predistorter (1231) configured from a neural network, and which uses the transmission signal and the generated teacher data to calculate a weighting coefficient for the neural network, wherein the iterative learning control unit includes a gain determination processing unit (12211) for obtaining an updated current error on the basis of a current error in the generated behavior model and at least one previous gain.
Inventors:
ANDO NOBUHIKO (JP)
Application Number:
PCT/JP2021/008580
Publication Date:
September 09, 2022
Filing Date:
March 05, 2021
Export Citation:
Assignee:
MITSUBISHI ELECTRIC CORP (JP)
International Classes:
H03F1/32; H03F3/24
Foreign References:
| JP2010518660A | 2010-05-27 | |||
| JP2014225832A | 2014-12-04 |
Attorney, Agent or Firm:
SANNO PATENT ATTORNEYS OFFICE (JP)
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