A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers

被引：58

作者：

Becerra, Juan A. ^{[1
,2
]}

Madero-Ayora, Maria J. ^{[2
]}

Reina-Tosina, Javier ^{[2
]}

Crespo-Cadenas, Carlos ^{[2
]}

Garcia-Frias, Javier ^{[1
]}

Arce, Gonzalo ^{[1
]}

机构：

[1] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA

[2] Univ Seville, Escuela Tecn Super Ingn, Dept Teoria Senal & Comunicac, Seville 41092, Spain

来源：

IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS | 2018年 / 28卷 / 08期

关键词：

Behavioral modeling; compressive sensing; digital predistortion (DPD); orthogonal matching pursuit (OMP); power amplifier (PA); DIGITAL PREDISTORTION;

D O I：

10.1109/LMWC.2018.2845947

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral models. The Gram-Schmidt orthogonalization is synergistically integrated into the orthogonal matching pursuit algorithm to decorrelate the selected model regressors against the components still to be selected. Experiments on a test bench based on a GaN PA driven by a 15-MHz orthogonal frequency division multiplexing signal were conducted in order to validate the algorithm. Experimental results in a DPD application and a comparison with other state-of-the-art algorithms highlight the enhancement of its pruning capabilities, reducing the number of coefficients while maintaining the performance.

引用

页码：726 / 728

页数：3

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