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Proceedings Paper

Numerical implemention of the AML algorithm for wideband DOA estimation
Author(s): Len Yip; Joe C Chen; Ralph E. Hudson; Kung Yao
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Paper Abstract

In this work, three algorithms are proposed to reduce the computational complexity of the Approximated Maximum Likelihood (AML) for wideband Direction of Arrival (DOA) estimation. The first two methods, conjugate gradient and Gauss-Newton, are iterative methods that are based on gradient information of the log-likelihood function. The third method, Alienor method, is based on function approximation theory which transform a multi-variable function into a one-variable function. Therefore, a multi-dimension search is reduced to a one-dimension search. Complexity as well as computational time of these methods are compared by simulations. Effectiveness of the AML algorithm is also demonstrated by experimental data.

Paper Details

Date Published: 24 December 2003
PDF: 9 pages
Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); doi: 10.1117/12.507831
Show Author Affiliations
Len 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. 5205:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIII
Franklin T. Luk, Editor(s)

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