Title :
An effective approach to behavioral modeling of RF power amplifier based on recursive polynomials
Author :
Zhang, Jun ; Guo, Yushun
Author_Institution :
Sch. of Electron. & Inf. Eng., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
A new approach based on recursive polynomials for behavioral modeling of RF power amplifiers is presented. The orthogonal least squares algorithm is introduced for the identification of the structure of the recursive polynomial. It provides an efficient means for removing the unnecessary terms from the general recursive polynomial and guarantees the model so obtained as simple as possible. This modeling approach does not require the complicated nonlinear parameter estimation procedure. The results in section TV prove that the model can predict the behavior of the amplifier under different signal excitations accurately.
Keywords :
least squares approximations; power amplifiers; radiofrequency amplifiers; RF power amplifier; behavioral modeling; orthogonal least squares algorithm; recursive polynomial; signal excitation; structure identification; Computational modeling; Integrated circuit modeling; Microwave amplifiers; Polynomials; Power amplifiers; Radio frequency; behavioral model; power amplifiers; recursive polynomials;
Conference_Titel :
Microwave, Antenna, Propagation, and EMC Technologies for Wireless Communications (MAPE), 2011 IEEE 4th International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8265-8
DOI :
10.1109/MAPE.2011.6156242