改进的凸组合变阶数LMS 自适应滤波

doi:10.3969/j.issn.0255-8297.2012.06.007

应用科学学报 ›› 2012, Vol. 30 ›› Issue (6): 601-606.doi: 10.3969/j.issn.0255-8297.2012.06.007

改进的凸组合变阶数LMS 自适应滤波

芮国胜1，苗俊2，张洋2，徐彬2，张嵩2

1. 海军航空工程学院电子信息工程系，山东烟台264001
2. 海军航空工程学院研究生管理大队，山东烟台264001

收稿日期:2011-04-21 修回日期:2011-07-28 出版日期:2012-11-27 发布日期:2011-07-28
通信作者: 芮国胜，教授，博导，研究方向：小波理论、自适应均衡，E-mail: 121941512@qq.com
作者简介:芮国胜，教授，博导，研究方向：小波理论、自适应均衡，E-mail: 121941512@qq.com
基金资助:
“泰山学者”建设工程专项经费资助

Improved LMS Adaptive Filter with Convex Combined Variable Fractional Tap-Length

RUI Guo-sheng1, MIAO Jun2, ZHANG Yang2, XU Bin2, ZHANG Song2

1. Electronic Information Engineering Department, Naval Aeronautical and Astronautical University,
Yantai 264001, Shandong Province, China
2. Graduate Students’ Brigade, Naval Aeronautical and Astronautical University,
Yantai 264001, Shandong Province, China

Received:2011-04-21 Revised:2011-07-28 Online:2012-11-27 Published:2011-07-28

摘要/Abstract

摘要： 滤波器的参数设置和信噪比强弱会影响变阶数自适应最小均方(least mean square, LMS) 算法的性能，在噪声环境未知的情况下，变阶数LMS 的稳态性能是衡量滤波器好坏的重要指标. 在分析凸组合分数阶变阶数LMS 自适应滤波算法稳态性能的基础上，提出一种变宽度凸组合变阶数自适应滤波算法. 理论分析和仿真结果表
明，在噪声环境未知情况下，所提算法相比于凸组合分数阶变阶数自适应滤波算法和变误差宽度的分数阶变阶数自适应滤波算法而言，有更好的环境自适应能力、更快的收敛速度和更好的阶数稳定性，具有实用性.

关键词: 自适应滤波器, 最小均方误差, 凸组合, 变阶数, 变误差宽度

Abstract: In digital filters, the parameter setting and SNR affect performance of the variable order least mean square (LMS) algorithm, especially in a variable noise environment. Stable performance of variable order LMS is an important factor in the evaluation of filters. This paper analyzes stability of convex combined variable tap-length LMS. According to the variable error width, convex combination of adaptive filters for variable fractional tap-length LMS algorithm based on variable width is proposed. Theoretical analysis and simulation results show that, in a variable noise environment, the proposed algorithm can better suit the environment and converge faster, and is more stable in tap-length, as compared to other techniques including convex combination of adaptive filters for variable fractional tap-length LMS algorithm and adaptive filters for a variable tap-length LMS algorithm based on variable error width.

Key words: adaptive filter, least mean square, convex combination, variable tap-length, variable error width

中图分类号:

TN911.4

芮国胜1，苗俊2，张洋2，徐彬2，张嵩2. 改进的凸组合变阶数LMS 自适应滤波[J]. 应用科学学报, 2012, 30(6): 601-606.

RUI Guo-sheng1, MIAO Jun2, ZHANG Yang2, XU Bin2, ZHANG Song2. Improved LMS Adaptive Filter with Convex Combined Variable Fractional Tap-Length[J]. Journal of Applied Sciences, 2012, 30(6): 601-606.

参考文献

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改进的凸组合变阶数LMS 自适应滤波

Improved LMS Adaptive Filter with Convex Combined Variable Fractional Tap-Length

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