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Proceedings Paper

Cramer-Rao bound analysis of wideband source localization and DOA estimation
Author(s): Lean Yip; Joe C. Chen; Ralph E. Hudson; Kung Yao
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Paper Abstract

In this paper, we derive the Cramér-Rao Bound (CRB) for wideband source localization and DOA estimation. The resulting CRB formula can be decomposed into two terms: one that depends on the signal characteristic and one that depends on the array geometry. For a uniformly spaced circular array (UCA), a concise analytical form of the CRB can be given by using some algebraic approximation. We further define a DOA beamwidth based on the resulting CRB formula. The DOA beamwidth can be used to design the sampling angular spacing for the Maximum-likelihood (ML) algorithm. For a randomly distributed array, we use an elliptical model to determine the largest and smallest effective beamwidth. The effective beamwidth and the CRB analysis of source localization allow us to design an efficient algorithm for the ML estimator. Finally, our simulation results of the Approximated Maximum Likelihood (AML) algorithm are demonstrated to match well to the CRB analysis at high SNR.

Paper Details

Date Published: 6 December 2002
PDF: 13 pages
Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); doi: 10.1117/12.453837
Show Author Affiliations
Lean Yip, Univ. of California/Los Angeles (United States)
Joe C. Chen, Univ. of California/Los Angeles (United States)
Ralph E. Hudson, Univ. of California/Los Angeles (United States)
Kung Yao, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 4791:
Advanced Signal Processing Algorithms, Architectures, and Implementations XII
Franklin T. Luk, Editor(s)

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