A robust deterministic method for blind multiple channel identification

Chengpu Yu*, Cishen Zhang, Lihua Xie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents a novel optimization method for blind multi-channel identification. The formulation of the optimal blind channel identification problem consists of three components: a least squares fitting term, and two regularization terms representing objective functions of the cross relation and the deterministic subspace methods, respectively. The proposed method is robust to noise since it does not separately compute the common system input and channel functions but to estimate them concurrently using the convolution model of the channels and channel input. Simulation results are demonstrated showing that the proposed method outperforms both the cross relation method and the deterministic subspace method.

Original languageEnglish
Title of host publicationICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event8th International Conference on Information, Communications and Signal Processing, ICICS 2011 - Singapore, Singapore
Duration: 13 Dec 201116 Dec 2011

Publication series

NameICICS 2011 - 8th International Conference on Information, Communications and Signal Processing

Conference

Conference8th International Conference on Information, Communications and Signal Processing, ICICS 2011
Country/TerritorySingapore
CitySingapore
Period13/12/1116/12/11

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