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引用本文：

冯涛,朱立东.采用互补滤波器组进行频带分解的欠定盲源分离方法[J].电讯技术，2011，51（6）： - . [点击复制]
FENG Tao,ZHU Li-dong.Frequency Decomposition Method for Under determined Blind Source Separation by Complementary Filters[J].，2011，51（6）： - . [点击复制]

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采用互补滤波器组进行频带分解的欠定盲源分离方法
冯涛,朱立东
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(电子科技大学通信抗干扰技术国家级重点实验室，成都 611731)

摘要:

为了有效估计混合矩阵并恢复出源信号，考虑到现实中的很多信号都是带限信号，提出了采用互补滤波器组进行频带分解的欠定盲源分离方法。该方法将接收的混合信号经互补滤波器组分离到不同的子频带，然后在每一个子频带分别估计混合矩阵进行常规的盲分离，利用聚类分析方法估计总的混合矩阵，最后把相关的分离子频带信号进行叠加以恢复出源信号。即使源信号数目远大于观测信号数，但只要保证在每一个子频带的信号数不大于观测信号数，该方法也可以有效地分离出源信号。最后通过仿真验证了该方法的有效性及良好的分离性能。

关键词: 欠定盲源分离互补滤波器频带分解聚类分析

DOI：

基金项目:部级预研基金项目资助（9140A220309090C0201）

Frequency Decomposition Method for Under determined Blind Source Separation by Complementary Filters

FENG Tao,ZHU Li-dong

(National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China，Chengdu 611731,China)

Abstract:

In view of the fact that many signals are bandlimited signals, a new underdetermined blind source separation(BSS) method is proposed using fre quency decomposition metho d by complementary filters to estimate mixing matrix and recover source signals effectively. The sensing signals are divided into different subbands, and each subband uses common BSS algorithm.The source signals are constructed by co m bing the related signals together. Even if the number of source signals is much larger than that of sensing signals, this method can also recover the sou rce signals when the number of source signals is not more than that of sensing signals in each subband. Computer simulation confirms the validity and excelle nt separation performance of this method.

Key words: blind source separation complementary filters frequency decomposition cluster a nalysis