中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (3): 95-99.doi:

• OFDM • 上一篇    下一篇

Performance of a recursive algorithm for polynomial predistorter design

许灵军 吴晓光 王勇 张平   

  1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2007-09-08 修回日期:1900-01-01 出版日期:2008-09-30
  • 通讯作者: 许灵军

Performance of a recursive algorithm for polynomial predistorter design

XU Ling-jun, WU Xiao-guang, WANG Yong, ZHANG Ping   

  1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2007-09-08 Revised:1900-01-01 Online:2008-09-30

摘要:

In this article, based on least square estimation, a recursive algorithm for indirect learning structure predistorter is introduced. Simulation results show that of all polynomial predistorter nonlinear terms, higher-order (higher than 7th-order) nonlinear terms are so minor that they can be omitted in practical predistorter design. So, it is unnecessary to construct predistorter with higher-order polynomials, and the algorithm will always be stable. Further results show that even when 15th-order polynomial model is used, the algorithm is convergent after 10 iterations, and it can improve out-band spectrum of 20 MHz bandwidth signal by 64 dB, with a 1.2×1011 matrix condition number.

关键词:

digital;predistortion,;recursive;algorithm,;power;amplifier;linearization,;polynomial;predistorter

Abstract:

In this article, based on least square estimation, a recursive algorithm for indirect learning structure predistorter is introduced. Simulation results show that of all polynomial predistorter nonlinear terms, higher-order (higher than 7th-order) nonlinear terms are so minor that they can be omitted in practical predistorter design. So, it is unnecessary to construct predistorter with higher-order polynomials, and the algorithm will always be stable. Further results show that even when 15th-order polynomial model is used, the algorithm is convergent after 10 iterations, and it can improve out-band spectrum of 20 MHz bandwidth signal by 64 dB, with a 1.2×1011 matrix condition number.

Key words:

digital predistortion;recursive algorithm;power amplifier linearization;polynomial predistorter