Signal Subspace Projection Methods of Adaptive Sensor Array Processing

Abstract

Reduced-rank subspace projection methods are used indirectly in frequency and angle-of arrival estimation algorithms such as MUSIC and its relatives, but they are not commonly used directly in least-squares detection applications. We have been exploring their use for the processing of underwater acoustic receiver array data for detection and matched-field localization. We will describe several techniques that have been developed and applied to signals recorded from different types of arrays.