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基于去相关NLMS算法的自适应回波抵消

王振力1, 张雄伟1, 杨吉斌1, 韩彦明2   

  1. 1.解放军理工大学 通信工程学院电子信息工程系，江苏 南京，210007
    2.空军驻沪宁地区军事代表室，江苏 南京 210013
  • 收稿日期:2004-08-26 修回日期:2004-11-01 出版日期:2006-01-31 发布日期:2006-01-31

Adaptive Echo Cancellation Based on Decorrelation NLMS Algorithm


WANG Zhen-li1, ZhANG Xiong-wei1, YANG Ji-bin1，HAN Yan－ming2   

  1. 1.Department of Electronic Information Engineering , PLAUST, Nanjing 210007,China;
    2. Military Delegation of Airforce at Hu-Ning Region, Nanjing 210013,China
  • Received:2004-08-26 Revised:2004-11-01 Online:2006-01-31 Published:2006-01-31

被引次数

18

摘要： 在NLMS算法的基础上，从语音信号相关性的角度出发，提出了一种去相关NLMS算法(DC-NLMS)。该算法收敛速度快，稳态失调小，计算量与NLMS算法相当，克服了APA 算法收敛速度快但计算量大的缺陷。计算机仿真结果表明, DC-NLMS算法在自适应回波抵消中的综合性能要优于 NLMS算法、APA算法以及文献[7]中算法。

关键词: 自适应回波抵消, NLMS算法, 仿射投影算法, 去相关

Abstract:

Based on NLMS, this paper proposes a decorrelation NLMS algorithm (DC-NLMS) by employing auto-correlation of the input speech signal. The proposed algorithm has fast convergence speed, but small stability maladjustment with the same computational complexity as NLMS, therefore overcomes the drawback of APA. Simulation results indicate that the DC-NLMS algorithm is optimal in adaptive echo cancellation as compared with NLMS, APA, and a previously developed algorithm in the literature.

Key words:

adaptive echo cancellation, NLMS algorithm, APA, decorrelation