NOVEL NEURAL NETWORK MODEL OF POWER AMPLIFIER PLUS IQ IMBALANCES
Author(s) -
Kai Fu,
Choi Look Law,
Than Tun Thein
Publication year - 2013
Publication title -
progress in electromagnetics research b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 47
ISSN - 1937-6472
DOI - 10.2528/pierb12082404
Subject(s) - distortion (music) , computer science , computation , artificial neural network , nonlinear system , amplifier , polynomial , power (physics) , nonlinear distortion , transmitter , behavioral modeling , control theory (sociology) , algorithm , mathematics , telecommunications , artificial intelligence , physics , bandwidth (computing) , mathematical analysis , channel (broadcasting) , control (management) , quantum mechanics
Traditionally, the transmitter (TX) IQ imbalances distortion and power amplifler (PA) distortion are separately modeled. In this paper, the behavior of the two distortions are unifled, and characterized by a single model. Rectangular structured Focused Time-Delay Neural Network (RSFTDNN) is proposed to uniformly model IQ imbalances and PA distortions. As a result, the physical distortions in the analog circuits are further abstracted. It also saves computation resources in simulation. Unlike the polynomial based model, which sufiers from condition number efiects and inaccuracy for deeply nonlinear system, the proposed RSFTDNN shows high accuracy. Two cases of real experiments are carried out, where RSFTDNN model shows much better performance than the polynomial based model in the sense of model accuracy.
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