
Proceedings Paper
Cramer-Rao bound analysis of wideband source localization and DOA estimationFormat | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 4791:
Advanced Signal Processing Algorithms, Architectures, and Implementations XII
Franklin T. Luk, Editor(s)
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
Published in SPIE Proceedings Vol. 4791:
Advanced Signal Processing Algorithms, Architectures, and Implementations XII
Franklin T. Luk, Editor(s)
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