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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(Document in English)
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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 |
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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 |
Funders: | DGA/MRIS |
Statistics: | download |
Deposited On: | 26 Aug 2016 14:11 |
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