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BEHAVIORAL MODEL AND PREDISTORTER FOR MODELING AND REDUCING NONLINEAR EFFECTS IN POWER AMPLIFIERS
BEHAVIORAL MODEL AND PREDISTORTER FOR MODELING AND REDUCING NONLINEAR EFFECTS IN POWER AMPLIFIERS
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机译：功率放大器建模和减少非线性效应的行为模型和预失真器
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摘要
The behavioral model and predistorter for modeling and reducing nonlinear effects in power amplifiers addresses the model size estimation problem. The GMP model is replaced by the hybrid memory polynomial/envelope memory polynomial (HMEM) model within a twin nonlinear two-box structure to reduce the number of variables involved in the model size estimation problem, without compromising model accuracy and digital predistorter performance. A sequential approach is presented to efficiently estimate the model size. Experimental validation is carried out to evaluate the performance of the size estimation and the accuracy of the HMEM-based twin-nonlinear two-box model with respect to that of the GMP-based twin-nonlinear two-box model.
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