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Closed-Form Estimators for Blind Separation of Sources – Part I: Real Mixtures

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Abstract

The problem of multiuser interference cancellation in wireless cellularcommunication systems accepts a blind source separation (BSS) model. Thepresent contribution studies the closed-form solutions to BSS in thereal-mixture case. Connections among a number of seemingly disparate methodsare unveiled, new procedures are put forward, and their asymptotic(large-sample) performance is analyzed. Simulation experiments illustrate andvalidate the theoretical results. Altogether, a unifying generic framework forclosed-form BSS methods is developed.

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Authors and Affiliations

  1. Signal Processing and Communications Group, Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, U.K.

    Vicente Zarzoso & Asoke K. Nandi

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  1. Vicente Zarzoso
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  2. Asoke K. Nandi
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Zarzoso, V., Nandi, A.K. Closed-Form Estimators for Blind Separation of Sources – Part I: Real Mixtures. Wireless Personal Communications 21, 5–28 (2002). https://doi.org/10.1023/A:1015588907550

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