[1] Wu Bingyang**, Chen Qifan, Cheng Shixin,. Performance of Wavelet-Transform-DomainAdaptive Equalizers* [J]. Journal of Southeast University (English Edition), 2002, 18 (1): 13-18. [doi:10.3969/j.issn.1003-7985.2002.01.003]

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Performance of Wavelet-Transform-DomainAdaptive Equalizers^*()

小波变换域自适应均衡器性能分析

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

18

Issue:

2002 1

Page:

13-18

Research Field:

Information and Communication Engineering

Publishing date:

2002-03-30

Info

Title:

Performance of Wavelet-Transform-DomainAdaptive Equalizers^*

小波变换域自适应均衡器性能分析

Author(s):

Wu Bingyang^**;  Chen Qifan;  Cheng Shixin

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

吴炳洋;  陈琦帆;  程时昕

东南大学移动通信国家重点实验室, 南京 210096

Keywords:

wavelet;  transform-domain;  wavelet-transform-domain;  LMS;  adaptive equalizer

小波;  变换域;  小波变换域;  LMS;  自适应均衡器

PACS:

TN929.533

DOI:

10.3969/j.issn.1003-7985.2002.01.003

Abstract:

In this paper performances of wavelet-transform-domain(WTD)adaptive equalizers based on the least-mean￣square(LMS)algorithm are analyzed. The optimum Wiener solution, the condition of convergence, the minimum mean-square-error(MSE)and the steady-state excess MSE of the WTD adaptive equalizer are obtained. Constant and time-varying convergence factor adaptive algorithms are studied respectively. Computational complexities of WTD LMS equalizers are given. The equalizer in WTD shows much better convergence performance than that of the conventional in time-domain.

介绍了基于LMS算法的小波变换域自适应均衡器, 并分析了此类均衡器的性能.较为详细地研究了小波域自适应均衡器的维纳解、收敛条件、均方误差等问题.针对时不变及时变收敛因子2种情况进行了讨论.给出了小波域均衡算法的算法复杂度.仿真结果表明小波域自适应均衡比其时域算法具有更好的收敛性.

References:

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Memo

Memo:

* The project supported by the National Natural Science Foundation of China(69982002).
** Born in 1970, male, graduate.

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