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应用科学学报 ›› 2001, Vol. 19 ›› Issue (1): 5-9.

• 论文 • 上一篇    下一篇

基于小波网络的MQAM数字通信自适应均衡器

章国安1,2, 张小东1, 毕光国1   

  1. 1. 东南大学无线电工程系, 江苏南京 210096;
    2. 南通工学院信息工程系;江苏南通 226007
  • 收稿日期:1999-10-05 修回日期:2000-06-26 出版日期:2001-03-31 发布日期:2001-03-31
  • 作者简介:章国安(1965-),男,江苏如皋人,副教授,博士;毕光国(1939-),男,浙江舟山人,教授,博导.
  • 基金资助:
    国家自然科学基金资助项目(69772024)

MQAM Digital Communication Adaptive Equalizers Using Wavelet Networks

ZHANG Guo-an1,2, ZHANG Xiao-dong1, BI Guang-guo1   

  1. 1. Department of Radio Engineering, Southeast University, Nanjing 210096, China;
    2. Department of Information Engineering, Nantong Institute of Technology, Nantong 226007, China
  • Received:1999-10-05 Revised:2000-06-26 Online:2001-03-31 Published:2001-03-31

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摘要： 首先给出了多维小波网络的结构及其随机梯度学习算法,提出了基于小波网络的MQAM数字通信自适应均衡器.仿真结果表明:该均衡器对于MQAM数字信号非线性信道的均衡,其性能明显优于传统的基于LMS和RLS算法的线性均衡器和基于RLS算法的判决反馈均衡器,且性能稍好于基于BP网络的均衡器.

关键词: 多进制正交幅度调制, 自适应均衡器, 非线性信道均衡, 小波网络

Abstract: In this paper, a novel wavelet network based adaptive equalizer (WNBAE) is presented. The structure and stochastic gradient learning algorithm of the WNBAE is given. In the MQAM digital communication reception systems over nonlinear channels the proposed WNBAE has better performance than that of the conventional linear transversal equalizer based on the LMS or the RLS algorithms, as well as that of the decision feedback equalizer based on the RLS algorithm. It outperforms slightly the back propagation network based adaptive equalizer. Several simulations are performed to evaluate the behavior of the WNBAE.

Key words: wavelet network, non-linear channel equalization, MQAM, adaptive equalizer

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