NEW BEHAVIOR MODEL AND ADAPTIVE PREDISTORTION FOR POWER AMPLIFIERS | Zendy

Mingming Gao | Zendy; Yue Wu | Zendy; Shaojun Fang | Zendy; Jingchang Nan | Zendy; Shuyang Cui | Zendy

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NEW BEHAVIOR MODEL AND ADAPTIVE PREDISTORTION FOR POWER AMPLIFIERS

Author(s) -

Mingming Gao,

Yue Wu,

Shaojun Fang,

Jingchang Nan,

Shuyang Cui

Publication year - 2019

Publication title -

progress in electromagnetics research c

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.341

H-Index - 34

ISSN - 1937-8718

DOI - 10.2528/pierc18112802

Subject(s) - predistortion , amplifier , power (physics) , computer science , electronic engineering , transistor array , control theory (sociology) , engineering , physics , artificial intelligence , control (management) , cmos , quantum mechanics

A three-box model, composed of a triangular memory polynomial, a look-up table, and a cross item among memory times, is proposed for power amplifiers. The model acquired good accuracy and linear effect and reduced the calculation coefficient. Moreover, the paper proposes the GRLS IVSSLMS adaptive predistortion algorithm. This algorithm is based on the structure of indirect learning. This work uses 16QAM signal to drive a strongly nonlinear Doherty amplifier. Experimental results show that the proposed method is suitable for the adaptive predistortion of power amplifiers.

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