Bias-Compensated Sign Subband Adaptive Filter

JI Li-peng; NI Jin-gen

doi:10.3969/j.issn.0372-2112.2020.11.018

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Bias-Compensated Sign Subband Adaptive Filter

更新时间：2025-12-08

- Bias-Compensated Sign Subband Adaptive Filter
- Acta Electronica Sinica Vol. 48, Issue 11, Pages: 2220-2225(2020)
- 作者机构：
  
  苏州大学电子信息学院,江苏,苏州,215006
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2020.11.018
  CLC： TN911.72
- Published Online：25 November 2020，
  
  Published：2020
- 稿件说明：
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JI Li-peng, NI Jin-gen. Bias-Compensated Sign Subband Adaptive Filter[J]. Acta Electronica Sinica, 2020, 48(11): 2220-2225.
DOI：

JI Li-peng, NI Jin-gen. Bias-Compensated Sign Subband Adaptive Filter[J]. Acta Electronica Sinica, 2020, 48(11): 2220-2225. DOI： 10.3969/j.issn.0372-2112.2020.11.018.

摘要

自适应滤波器在系统辨识、回声消除、信道均衡等领域获得了广泛应用.符号子带自适应滤波器（Sign Subband Adaptive Filter，SSAF）具有较强的抗脉冲干扰能力，但当输入信号受到噪声干扰时，其对未知系统系数向量的估计会产生偏差.为了解决上述问题，本文基于无偏估计准则，提出了一种偏差补偿符号子带自适应滤波器（Bias-Compensated Sign Subband Adaptive Filter，BC-SSAF）.为了解决定步长自适应滤波器需要在收敛速度和稳态失调之间进行折中的问题，本文采用随机梯度法来更新正则化参数，提出了变正则化参数偏差补偿符号子带自适应滤波器（Variable Regularization Bias-Compensated Sign Subband Adaptive Filter，VR-BC-SSAF）.仿真结果验证了BC-SSAF和VR-BC-SSAF性能的优越性.

Abstract

Adaptive filters have been widely used in system identification

echo cancellation and channel equalization. The sign subband adaptive filter (SSAF) is robust against impulsive noise. However

when the input is corrupted by noise

using the SSAF to estimate the coefficients of the unknown system will result in estimation bias. To address this problem

this paper proposes a bias-compensated SSAF (BC-SSAF) based on an unbiased-estimation criterion. To overcome the problem of tradeoff between convergence rate and steady-state misalignment existing in fixed step-size adaptive filters

this paper uses the method of stochastic gradient to update regularization parameter and thus presents a variable regularization BC-SSAF (VR-BC-SSAF). Simulation results verify the superiority of the BC-SSAF and VR-BC-SSAF.

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Related Institution

Dept.of Electron.Eng.,Nanjing Univ.of Sci.and Tech.

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