Signal Subspace Extraction algorithm for detection in the presence of reverberation

Abstract

A new algorithm called signal subspace extraction is presented for detecting and estimating the target echo in reverberation. The new algorithm maintains the benefit of the principal component inverse algorithm, moreover shows better performance with a more reasonable reverberation model. Further, a block forward matrix is proposed to extend the algorithm to the space-time array problem. The new algorithm also allows good echo separation. Examples are presented using both real, active-sonar data and simulated data.