A Low Running Complexity Model for Digital Predistortion of RF Power Amplifiers

被引：12

作者：

Han, Renlong ^{[1
,2
]}

Qiao, Wen ^{[1
,2
]}

Jiang, Chengye ^{[1
,2
]}

Su, Lei ^{[1
,2
]}

Yang, Guichen ^{[1
,2
]}

Tan, Jingchao ^{[1
,2
]}

Liu, Falin ^{[1
,2
]}

机构：

[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Peoples R China

[2] Chinese Acad Sci, Key Lab Electromagnet Space Informat, Hefei 230027, Peoples R China

来源：

IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS | 2022年 / 32卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Complexity theory; Computational modeling; Behavioral sciences; Multiplexing; Predistortion; Matching pursuit algorithms; Adaptation models; Behavioral modeling; digital predistortion (DPD); greedy algorithm; power amplifiers (PAs); running complexity; ALGORITHM;

D O I：

10.1109/LMWC.2022.3181204

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：

In this letter, two basis function multiplexing-based behavioral modeling methods for digital predistortion (DPD) of RF power amplifiers (PAs) are proposed to reduce the running complexity of DPD. The proposed full basis-propagating selection (FBPS) model and reduced-complexity FBPS (RC-FBPS) model give two reasonable ways to multiplex even-order basis functions, extending the basis-propagating selection (BAPS) model which only uses basis function delay and odd-order basis functions. The experimental results confirm that both the proposed FBPS and RC-FBPS models can achieve a good tradeoff between running complexity and performance.

引用

页码：1371 / 1374

页数：4

共 13 条

[1] A Simplified Accuracy Enhancement to the Saleh AM/AM Modeling and Linearization of Solid-State RF Power Amplifiers [J].

Al-Kanan, Haider ;

Li, Fu .

ELECTRONICS, 2020, 9 (11) :1-13

[2] A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers [J].

Becerra, Juan A. ;

Madero-Ayora, Maria J. ;

Reina-Tosina, Javier ;

Crespo-Cadenas, Carlos ;

Garcia-Frias, Javier ;

Arce, Gonzalo .

IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2018, 28 (08) :726-728

[3] Complexity Optimized Digital Predistortion Model of RF Power Amplifiers [J].

Cao, Wenhui ;

Wang, Siqi ;

Landin, Per N. ;

Fager, Christian ;

Eriksson, Thomas .

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2022, 70 (03) :1490-1499

[4] A robust digital baseband predistorter constructed using memory polynomials [J].

Ding, L ;

Zhou, GT ;

Morgan, DR ;

Ma, ZX ;

Kenney, JS ;

Kim, J ;

Giardina, CR .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2004, 52 (01) :159-165

[5] Effects of even-order nonlinear terms on power amplifier modeling and predistortion linearization [J].

Ding, L ;

Zhou, GT .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2004, 53 (01) :156-162

[6]

Enzinger H, 2016, CONF REC ASILOMAR C, P220, DOI 10.1109/ACSSC.2016.7869028

[7] The Evolution of PA Linearization [J].

Katz, Allen ;

Wood, John ;

Chokola, Daniel .

IEEE MICROWAVE MAGAZINE, 2016, 17 (02) :32-40

[8]

Mondal R., 2013, INT CONF WIRE COMMUN, P1

[9] A generalized memory polynomial model for digital predistortion of RF power amplifiers [J].

Morgan, Dennis R. ;

Ma, Zhengxiang ;

Kim, Jaehyeong ;

Zierdt, Michael G. ;

Pastalan, John .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (10) :3852-3860

[10] Behavioral Modeling and Predistortion of Power Amplifiers Under Sparsity Hypothesis [J].

Reina-Tosina, Javier ;

Allegue-Martinez, Michel ;

Crespo-Cadenas, Carlos ;

Yu, Chao ;

Cruces, Sergio .

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2015, 63 (02) :745-753

← 1 2 →