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回波对消中盲源分离算法的研究与仿真
引用本文:张艳萍,李杰. 回波对消中盲源分离算法的研究与仿真[J]. 南京气象学院学报, 2013, 5(6): 539-543
作者姓名:张艳萍  李杰
作者单位:南京信息工程大学 电子与信息工程学院, 南京, 210044;南京信息工程大学 电子与信息工程学院, 南京, 210044
基金项目:江苏省自然科学基金(BK2009410)
摘    要:盲源分离因为可以仅根据接收到的观测信号来估计还原源信号,成为近年来在信号处理领域的研究热点.针对盲源分离中的基于峭度的独立分量分析算法在源信号还原的过程中计算量较大的问题,采用共轭梯度方法对独立分量分析法进行优化,优化后的算法收敛速度更快,稳态误差变小.Matlab仿真实验表明,优化后的独立分量分析算法收敛更快,实际分离效果更好.

关 键 词:盲源分离  独立分量分析  共轭梯度法  回波对消
收稿时间:2010-11-06

Optimization and simulation of blind source separation in acoustic echo cancellation
ZHANG Yanping and LI Jie. Optimization and simulation of blind source separation in acoustic echo cancellation[J]. Journal of Nanjing Institute of Meteorology, 2013, 5(6): 539-543
Authors:ZHANG Yanping and LI Jie
Affiliation:School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
Abstract:Blind source separation is the separation of source signals from a set of mixed signals,without or with very little information about the source signals or the mixing process.Blind source separation has become a hot spot in research of signal processing in recent years.Large amount of calculation is required for source signal recovery process in blind source separation by Kurtosis based Independent Component Analysis(ICA) algorithm,thus the conjugate gradient method is employed in this paper to optimize the ICA algorithm.The Matlab simulation results show that the improved ICA algorithm is quick in convergence speed,good in separation performance,and low in steady-state error.
Keywords:blind source separation  independent component analysis  conjugate gradient method  echo cancellation
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