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Direction of arrival estimation in a mixture of K-distributed and Gaussian noise

Besson, Olivier and Abramovich, Yuri and Johnson, Ben Direction of arrival estimation in a mixture of K-distributed and Gaussian noise. (2016) Signal Processing, 128. 512-520. ISSN 0165-1684

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Official URL: http://dx.doi.org/10.1016/j.sigpro.2016.05.027

Abstract

We address the problem of estimating the directions-of-arrival (DoAs) of multiple signals received in the presence of a combination of a strong compound-Gaussian external noise and weak internal white Gaussian noise. Since the exact distribution of the mixture is not known, we get an insight into optimum procedure via a related model where we consider the texture of the compound-Gaussian component as an unknown and deterministic quantity to be estimated together with DoAs or a basis of the signal subspace. Alternate maximization of the likelihood function is conducted and it is shown that it operates a separation between the snapshots with small/large texture values with respect to the additive noise power. The modified Cramér-Rao bound is derived and a prediction of the actual mean-square error is presented, based on separation between external/internal-noise dominated samples. Numerical simulations indicate that the suggested iterative DoA estimation technique comes close to the introduced bound and outperform a number of existing routines.

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > University of South Australia (AUSTRALIA)
Other partners > WR Systems (USA)
Laboratory name:
Département d'Electronique, Optronique et Signal - DEOS (Toulouse, France) - Signal, Communication, Antenne et Navigation - SCAN
Statistics:download
Deposited By: Olivier Besson
Deposited On:26 Aug 2016 14:11

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