Cochannel signal recovery using the MUSIC algorithm and the constant modulus array

Abstract
We describe an approach to cochannel signal recovery for correlated sources that is based on the the MUSIC (multiple signal classification) algorithm and the constant modulus (CM) array. The MUSIC algorithm provides estimates of the source angles of arrival, which are used to initialize a parallel bank of CM arrays. These adaptive beamformers are updated by the constant modulus algorithm (CMA) to capture and track the source signals, even when they are highly correlated. Computer simulations are presented to illustrate the transient behavior of the proposed algorithm.

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