电子学报 ›› 2000, Vol. 28 ›› Issue (1): 114-116.

• 论文 • 上一篇    下一篇

多输入多输出盲解卷问题的最大熵解法

谭丽丽, 韦 岗   

  1. 华南理工大学无线电与自控研究所,广州 510641
  • 收稿日期:1998-07-13 修回日期:1999-08-25 出版日期:2000-01-25 发布日期:2000-01-25

Multi-Input Multi-output (MIMO) Blind Deconvolution Via Maximum Entropy (ME) Method

TAN Li-li, WEI Gang   

  1. Institute of Electronic Engineering and Control,South China University of Technology,Guangzhou 510641,China
  • Received:1998-07-13 Revised:1999-08-25 Online:2000-01-25 Published:2000-01-25

摘要: 本文研究的问题是从观察信号中分离出两个(或者更多个)输入信号,其中每一组信号分别通过不同的未知多输入多输出线性系统.本文证明了当输入信号是两两相互独立的独立同分布信号时可以分离出输入信号,并导出了基于最大熵的多输入多输出盲解卷新算法.这个算法不需要任何关于输入信号和混合滤波器的先验知识.

关键词: 盲分离, 最大熵, 盲解卷

Abstract: The problem discussed in this paper is to separate two (or more) input signals from observed signals which are generated by passing input signals through diffrent unknown multi-input multi-output linear systems.It is proved that the input signals can be separated when they are independent identitically distributed (i.i.d) signals.A new algorithm for multi-input multi-output blind deconvolution via maximum entropy is presented which needs no information about the input signals and mixing filters.

Key words: blind separation, maximum entropy, blind deconvolution

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