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Proceedings Paper

Improving spatial spectrum analysis precision by least-square fitting method
Author(s): Tiesheng Kong; Diannong Liang
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Paper Abstract

This paper addresses the problem of direction-upon-arrival (DOA) estimation. It is well known that the mean-squared errors (MSE) of the DOA are proportional to reciprocal of the squared distance d between array elements, and asymptotically approach to the Cramer-Rao bound (CRD) as d increases. However, this may cause spatial frequency alinning. In this paper, using non-uniform array, we regard this problem as data least square fitting one, and estimate DOA by a proper direction vector fitting. Two theorems are proved to ensure the method not to cause ambiguity. The advantages of proposed method are discussed.

Paper Details

Date Published: 25 August 1992
PDF: 8 pages
Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); doi: 10.1117/12.139401
Show Author Affiliations
Tiesheng Kong, Changsha Institute of Technology (China)
Diannong Liang, Changsha Institute of Technology (China)

Published in SPIE Proceedings Vol. 1698:
Signal and Data Processing of Small Targets 1992
Oliver E. Drummond, Editor(s)

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