HIGH RESOLUTION BEARING ESTIMATION WITHOUT EIGEN DECOMPOSITION.

Document Type

Conference Proceeding

Date of Original Version

12-1-1985

Abstract

The authors consider the bearing estimation problem as a matrix approximation problem. The columns of a matrix X are embedded with the snapshot vectors from an N element array. The matrix X is approximated by a matrix X//M in the least square sense. The rank, as well as the structure, of the space spanned by columns of X//M is prespecified. After X//M is computed, the bearings of the sources and the spatial correlation of the source signals can be estimated. The technique is then compared with other methods such as MUSIC and SVD processing. When the number of snapshot vectors available for processing is large, a simpler adaptive algorithm is suggested.

Publication Title, e.g., Journal

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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