Research on Nonlinear Echo Cancellation in the α-Stable Noise Environment

doi:10.3969/j.issn.0372-2112.2020.01.007

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Research on Nonlinear Echo Cancellation in the α-Stable Noise Environment

更新时间：2025-07-08

- Research on Nonlinear Echo Cancellation in the α-Stable Noise Environment
- Acta Electronica Sinica Vol. 48, Issue 1, Pages: 59-65(2020)
- 作者机构：
  
  1. 南京信息工程大学电子与信息工程学院,江苏,南京,210044
  2. 江苏省大气环境与装备技术协同创新中心,江苏,南京,210044
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2020.01.007
  CLC： TN912
- Published Online：25 January 2020，
  
  Published：2020
- 稿件说明：
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Research on Nonlinear Echo Cancellation in the α-Stable Noise Environment[J]. Acta Electronica Sinica, 2020, 48(1): 59-65.
DOI：

Research on Nonlinear Echo Cancellation in the α-Stable Noise Environment[J]. Acta Electronica Sinica, 2020, 48(1): 59-65. DOI： 10.3969/j.issn.0372-2112.2020.01.007.

摘要

针对广泛存在的非线性回声，以及在非高斯噪声环境下，传统回声消除器中自适应算法性能衰退，继而导致回声消除效果下降的情况，本文提出了一种基于最小离差准则的协同函数链接型自适应滤波回声消除方法.该方法使用归一化最小

范数算法更新线性和非线性函数扩展的自适应滤波器的权值，并将输出信号协同组合，以消除非线性回声.仿真实验结果表明，该方法在-稳定分布噪声且非线性回声存在的情况下比传统回声消除方法具有更高的回声衰减增益.

Abstract

In the condition of the widespread nonlinear echo and the non-Gaussian noise environment

the performance of the adaptive algorithm in the traditional echo canceller is degraded

which leads to the decline of the echo cancellation effect. In this paper

aiming at this question

a collaborative functional link adaptive filtering echo cancellation method based on the minimum dispersion criterion is proposed.In this method

the weights of the linear and nonlinear functional expanded adaptive filters are updated by using a normalized minimum

norm algorithm

and the output signals are cooperatively combined to eliminate the nonlinear echo. The simulation results show that the proposed method can achieve higher echo return loss enhancement in the p

resence of the

-stable distributed noise and the nonlinear echo.

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