Robust Total Least Mean Square Adaptive Filter:Algorithm and Analysis

WEI Rui-xuan; HAN Chong-zhao; ZHANG Zong-lin; FANG Yang-wang

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Robust Total Least Mean Square Adaptive Filter:Algorithm and Analysis

更新时间：2025-07-16

- Robust Total Least Mean Square Adaptive Filter:Algorithm and Analysis
- Acta Electronica Sinica Vol. 30, Issue 7, Pages: 1023-1026(2002)
- 作者机构：
  
  1. 空军工程大学工程学院,陕西,西安,710038
  2. 西安交通大学电子与信息工程学院,陕西,西安,710049
  3. 空军工程大学工程学院陕西西安,710038
  4. 西安交通大学电子与信息工程学院陕西西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published Online：25 July 2002，
  
  Published：2002
- 稿件说明：
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WEI Rui-xuan, HAN Chong-zhao, ZHANG Zong-lin, et al. Robust Total Least Mean Square Adaptive Filter:Algorithm and Analysis[J]. Acta Electronica Sinica, 2002, 30(7): 1023-1026.
DOI：

WEI Rui-xuan, HAN Chong-zhao, ZHANG Zong-lin, et al. Robust Total Least Mean Square Adaptive Filter:Algorithm and Analysis[J]. Acta Electronica Sinica, 2002, 30(7): 1023-1026. DOI：

摘要

本文研究了在输入输出观测数据均含有噪声的情况下如何有效地进行鲁棒自适应滤波的问题.以总体均方误差(TMSE)最小为准则

基于最速下降原理

通过对总体均方误差梯度进行修正

提出了一种鲁棒的总体均方最小自适应滤波算法.通过与已有算法的对比分析表明

该算法能够有效地降低权向量的每步调整量对噪声的敏感程度.仿真实验的结果进一步表明

该算法的鲁棒抗噪性能和稳态收敛精度明显地高于其它同类方法

而且可以使用较大的学习因子

在高噪声环境下仍然保持良好的收敛性.

Abstract

The robust adaptive filtering is researched when the input and output signal are both corrupted by noise in this paper.On the basis of minimizing total mean square error (TMSE) and the steepest descent principle

by modifying the gradient of TMSE

a robust total least mean square (RTLMS) adaptive filter algorithm is proposed.The performance analysis compared with other algorithm demonstrates the proposed algorithm can efficiently reduce the sensitivity of the weight adjusting-tap to noise.The simulation results have also shown that the robust anti-noise performance and the stable convergence precision of the proposed algorithm are remarkably higher than other congener algorithms.And it can still keep nice convergence when a larger learning factor is used and the noise is strong.

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