Blind decorrelation and deconvolution algorithm for multiple-input multiple-output system: II. Analysis and simulation

Da-Ching Chen; Tommy Yu; Kung Yao; Gregory J. Pottie

doi:10.1117/12.367637

2 November 1999 Blind decorrelation and deconvolution algorithm for multiple-input multiple-output system: II. Analysis and simulation

Da-Ching Chen, Tommy Yu, Kung Yao, Gregory J. Pottie

Author Affiliations +

Proceedings Volume 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX; (1999) https://doi.org/10.1117/12.367637
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Da-Ching Chen, Tommy Yu, Kung Yao, and Gregory J. Pottie "Blind decorrelation and deconvolution algorithm for multiple-input multiple-output system: II. Analysis and simulation", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); https://doi.org/10.1117/12.367637

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