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Proceedings Paper

Theoretical and experimental study of DOA estimation using AML algorithm for an isotropic and non-isotropic 3D array
Author(s): Shadnaz Asgari; Andreas M. Ali; Travis C. Collier; Yuan Yao; Ralph E. Hudson; Kung Yao; Charles E. Taylor
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Paper Abstract

The focus of most direction-of-arrival (DOA) estimation problems has been based mainly on a two-dimensional (2D) scenario where we only need to estimate the azimuth angle. But in various practical situations we have to deal with a three-dimensional scenario. The importance of being able to estimate both azimuth and elevation angles with high accuracy and low complexity is of interest. We present the theoretical and the practical issues of DOA estimation using the Approximate-Maximum-Likelihood (AML) algorithm in a 3D scenario. We show that the performance of the proposed 3D AML algorithm converges to the Cramer-Rao Bound. We use the concept of an isotropic array to reduce the complexity of the proposed algorithm by advocating a decoupled 3D version. We also explore a modified version of the decoupled 3D AML algorithm which can be used for DOA estimation with non-isotropic arrays. Various numerical results are presented. We use two acoustic arrays each consisting of 8 microphones to do some field measurements. The processing of the measured data from the acoustic arrays for different azimuth and elevation angles confirms the effectiveness of the proposed methods.

Paper Details

Date Published: 21 September 2007
PDF: 12 pages
Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970I (21 September 2007); doi: 10.1117/12.732768
Show Author Affiliations
Shadnaz Asgari, Univ. of California, Los Angeles (United States)
Andreas M. Ali, Univ. of California, Los Angeles (United States)
Travis C. Collier, Univ. of California, Los Angeles (United States)
Yuan Yao, 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)
Charles E. Taylor, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 6697:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVII
Franklin T. Luk, Editor(s)

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