A solution to blind separation of convolutive communication mixtures in frequency domain

Author

Duan, Taotao ; Zhang, Xudong

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2012

fDate

21-23 April 2012

Firstpage

2330

Lastpage

2333

Abstract

In this paper, an efficient algorithm to deal with convolutive blind source separation of communication signals in frequency domain is presented. The classical JADE algorithm is adopted to perform linear complex-valued ICA in each frequency bin. To solve the permutation ambiguity problem, a new permutation technique based on high-order statistics is proposed. Then, a post processing procedure called CMA is added to compensate for signal distortion. Simulations are included to demonstrate the effectiveness of the proposed algorithms.

Keywords

blind source separation; convolution; higher order statistics; independent component analysis; CMA; blind separation; classical JADE algorithm; communication signals; convolutive communication mixtures; frequency domain; high order statistics; linear complex valued ICA; permutation ambiguity problem; signal distortion; Blind source separation; Finite impulse response filter; Frequency domain analysis; Sensors; Signal processing algorithms; Speech; Time domain analysis; blind source separation; communication; convolutive mixture; frequency domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4577-1414-6

Type

conf

DOI

10.1109/CECNet.2012.6202000

Filename

6202000