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Multichannel Blind Deconvolution of Multistage Structure to Eliminate Interference and Reverberation Signals  

Lim, Joung-Woo (Dept. of Radio and Communications Engineering, Chungbuk National University)
Jeong, Gyu-Hyeok (Dept. of Radio and Communications Engineering, Chungbuk National University)
Joo, Gi-Ho (Dept. of Informations and Communications Engineering, Paichai University)
Kim, Young-Ju (Dept. of Radio and Communications Engineering, Chungbuk National University)
Lee, In-Sung (Dept. of Radio and Communications Engineering, Chungbuk National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.1, 2007 , pp. 85-93 More about this Journal
Abstract
In case that multichannel blind deconvolution (MBD) applies to signals of which autocorrelation has a high level, separated signals are temporally whitened by diagonal elements of a separation filter matrix. In order to reduce this distortion, the algorithms, which are based on either constraining diagonal elements of a separation filter matrix or estimating a separation filter matrix by using linear prediction residual signals, are presented. Still, some problems are generated in these methods, when we separate reverberation of signals themselves or interference signals from mixed signals. To solve these problems, this paper proposes the multichannel blind deconvolution method which divides processing procedure into the stage to separate interference signals and the stage to eliminate a reverberation of signals themselves. In simulation results, we confirm that the proposed algorithm can solve the problems.
Keywords
multichannel blind deconvolution; blind source separation; convolutive mixture;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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