A Nonlinear Memory Power Amplifier Behavior Modeling and Identification Based on Memory Polynomial Model in Soft-Defined Shortwave Transmitter

General Volterra series based models have been successfully applied for radio frequency (RF) power amplifier behave-oral modeling, but their high complexity tends to limit their applications to "weakly" nonlinear systems. To model a soft-defined shortwave PA with strong nonlinearities and...

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Bibliographic Details
Published in2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM) pp. 1 - 4
Main Authors Hanxin Zhou, Guojin Wan, Limin Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Adaptation model
Computational modeling
Integrated circuit modeling
Mathematical model
Predistortion
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Summary:General Volterra series based models have been successfully applied for radio frequency (RF) power amplifier behave-oral modeling, but their high complexity tends to limit their applications to "weakly" nonlinear systems. To model a soft-defined shortwave PA with strong nonlinearities and long memory effects, we propose a memory polynomial model (MP model) which is a simplified Volterra series based model for RF power amplifiers by employing a diagonal pruning algorithm, therefore dramatically reducing the complexity of the behavioral model. The comparison between the simulation results by MP Model and the measured result by the test platform based on DSP and FPGA shows that MP model and adaptive RLS algorithm can describe the nonlinear memory power amplifier behavior characterizes for the soft-defined short-wave amplifier system accurately and effectively. Furthermore, the identification method for soft-defined shortwave transmitter is simple, few parameters, steady algorithm, and practical.
ISBN:1424437083
9781424437085
ISSN:2161-9646
DOI:10.1109/WICOM.2010.5600848