电子学报 ›› 2017, Vol. 45 ›› Issue (8): 2019-2025.DOI: 10.3969/j.issn.0372-2112.2017.08.030

• 学术论文 • 上一篇    下一篇

一种变正则化矩阵的改进多带结构子带自适应滤波算法

闫震海1,2, 杨飞然1, 杨军1,2   

  1. 1. 中国科学院噪声与振动重点实验室(声学研究所), 北京 100190;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2016-04-11 修回日期:2016-10-08 出版日期:2017-08-25
    • 通讯作者:
    • 杨军
    • 作者简介:
    • 闫震海,男,1988年生,现为中国科学院声学研究所在读博士生,主要研究方向为自适应信号处理和回声抵消.E-mail:yanzhenhai@mail.ioa.ac.cn;杨飞然,男,1982年生,现为中国科学院声学研究所副研究员,主要研究方向为自适应信号处理、回声抵消、语音增强和3D音频系统.E-mail:feirany.ioa@gmail.com
    • 基金资助:
    • 国家自然科学基金 (No.61501449,No.11404367); 中国科学院先导专项项目 (No.XDA06040501)

A Variable Regularization Matrix for the Lmproved Multiband-Structured Subband Adaptive Filter

YAN Zhen-hai1,2, YANG Fei-ran1, YANG Jun1,2   

  1. 1. Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Acaderny of Sciences, Beijing 100049, China
  • Received:2016-04-11 Revised:2016-10-08 Online:2017-08-25 Published:2017-08-25
    • Supported by:
    • National Natural Science Foundation of China (No.61501449, No.11404367); Pilot Project of Chinese Academy of Sciences (No.XDA06040501)

摘要: 定正则化因子的改进多带结构子带自适应滤波(IMSAF)算法在取得收敛速度快和稳态失调误差小之间存在冲突.根据系统噪声抵消原理,设定子带后验误差功率等于子带噪声功率,本文提出了变正则化矩阵的IMSAF算法来解决这一问题.仿真结果证明,所提算法可以同时达到收敛速度快、稳态失调误差小以及追踪速度快等优势.

关键词: 自适应滤波, 改进的多带结构子带自适应滤波器, 变正则化矩阵

Abstract: The conflict between fast convergence rate and small steady-state misadjustment is a problem of the improved multiband-structured subband adaptive filter (IMSAF) algorithm with a fixed regularization factor.Based on the principle of minimizing the system noise,the power of the subband posteriori error is assumed to equal the power of the subband noise.Under this assumption a variable regularization matrix for the IMSAF algorithm is proposed to solve this problem.Simulation results show that the proposed method is superior to the IMSAF algorithm in terms of convergence rate,steady-state misadjustment and tracking capability.

Key words: adaptive filtering, improved multiband-structured subband adaptive filter (IMSAF), variable regularization matrix

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