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Approximate maximum likelihood direction of arrival estimation for two closely spaced sources

Vincent, François and Besson, Olivier and Chaumette, Eric Approximate maximum likelihood direction of arrival estimation for two closely spaced sources. (2013) In: CAMSAP 2013 - The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 15 December 2013 - 18 December 2013 (Saint Martin, France).

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Abstract

Abstract—Most high resolution direction of arrival (DoA) estimation algorithms exploit an eigen decomposition of the sample covariance matrix (SCM). However, their performance dramatically degrade in case of correlated sources or low number of snapshots. In contrast, the maximum likelihood (ML) DoA estimator is more robust to these drawbacks but suffers from a too expensive computational cost which can prevent its use in practice. In this paper, we propose an asymptotic simplification of the ML criterion in the case of two closely spaced sources. This approximated ML estimator can be implemented using only 1-D Fourier transforms. We show that this solution is as accurate as the exact ML one and outperforms all high-resolution techniques in case of correlated sources. This solution can also be used in the single snapshot case where very few algorithms are known to be effective.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. (c) 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. The definitive version will be available at http://ieeexplore.ieee.org
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
French research institutions > Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE)
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Deposited By: Francois VINCENT
Deposited On:19 Nov 2013 10:39

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