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Proceedings Paper

Blind decorrelation and deconvolution algorithm for multiple-input multiple-output system: II. Analysis and simulation
Author(s): Da-Ching Chen; Tommy Yu; Kung Yao; Gregory J. Pottie
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Paper Abstract

For single-input multiple-output (SIMO) systems blind deconvolution based on second-order statistics has been shown promising given that the sources and channels meet certain assumptions. In our previous paper we extend the work to multiple-input multiple-output (MIMO) systems by introducing a blind deconvolution algorithm to remove all channel dispersion followed by a blind decorrelation algorithm to separate different sources from their instantaneous mixture. In this paper we first explore more details embedded in our algorithm. Then we present simulation results to show that our algorithm is applicable to MIMO systems excited by a broad class of signals such as speech, music and digitally modulated symbols.

Paper Details

Date Published: 2 November 1999
PDF: 10 pages
Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); doi: 10.1117/12.367637
Show Author Affiliations
Da-Ching Chen, Univ. of California/Los Angeles (United States)
Tommy Yu, Univ. of California/Los Angeles (United States)
Kung Yao, Univ. of California/Los Angeles (United States)
Gregory J. Pottie, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 3807:
Advanced Signal Processing Algorithms, Architectures, and Implementations IX
Franklin T. Luk, Editor(s)

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