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Blind channel identification and signal recovery by confining a component of the observations into a convex-hull of minimum volume

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1 Author(s)
Sergio Cruces ; Dpto. de Teoría de la Señal y Comunicaciones, Escuela de Ingenieros, Universidad de Sevilla, Camino de los descubrimientos. s/n, 41092, Spain

This paper addresses the problems of the blind channel identification and signal extraction in a linear mixture of bounded complex sources. We present a blind criterion that solves these two related problems by confining a linear component of the observations into a convex-hull of minimum volume. The proposed criterion has its minima only at identification of the subspace of one of the unmixed components of the observations, allowing, therefore, a robust channel identification and signal recovery.

Published in:

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

Date of Conference:

21-23 July 2008