NDLI: Robust subsystems for iterative multichannel blind system identification and equalization

Content Provider	IEEE Xplore Digital Library
Author	Schmid, D. Enzner, G.
Copyright Year	2009
Description	Author affiliation: Institute of Communication Acoustics, Ruhr-University Bochum, 44780, Germany (Schmid, D.; Enzner, G.)
Abstract	This paper presents an iterative approach to multi-channel blind system identification. The concept includes two subsystems for channel identification and equalization which are specifically tailored for robust mutual interaction. This robustness is a natural prerequisite for the convergence of iterative systems when no suitable a priori information about the channels or the input signal is available. For the channel identification subsystem, we introduce a supervised, variable stepsize LMS-type adaptive algorithm which is able to identify the channels from an estimated input signal. We then show that matched filter arrays can be utilized as the equalization subsystem to estimate the input signal on the basis of the identified channels. Eventually, we demonstrate that the iterative coupling of both subsystems converges to a solution, the quality of which can be predicted from our comprehensive analysis of the independent subsystems.
Starting Page	889
Ending Page	893
File Size	127984
Page Count	5
File Format	PDF
ISBN	9781424445608
DOI	10.1109/PACRIM.2009.5291250
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-23
Publisher Place	Canaca
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness System identification Blind equalizers Signal processing Higher order statistics Iterative methods Matrix decomposition Hydrogen Acoustics Convergence
Content Type	Text
Resource Type	Article

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