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DOA estimation in fluctuating environments: an approximate message-passing approach

Guillaume Beaumont 1 Ronan Fablet 2, 3 Angélique Drémeau 1
1 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_IMTA_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this work, we propose a new algorithm in order to perform direction-of-arrival (DOA) estimation considering waves propagating through a fluctuating medium. In this particular context, the measurements are affected by a phase noise, which can mislead the estimation. It is then important to take into account these phase uncertainties in the estimation procedures. In this paper, we propose to model the phase noise by some random distribution and combine it with a sparse-enforcing distribution on the directions of arrival. These prior models are exploited through a message passing algorithm. Our method relates to previous works in phase recovery and can be seen in particular as an extension of the so-called " prSAMP " algorithm. Once implemented, we evaluated the performance of our algorithm in terms of quality of the reconstruction in comparison with other state-of-the-art algorithms. In particular, the method proves to be more robust to additive noise and present a better behavior than conventional beamforming and recent variational Bayesian algorithms.
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https://hal.archives-ouvertes.fr/hal-01624855
Contributeur : Guillaume Beaumont <>
Soumis le : lundi 25 mai 2020 - 12:05:52
Dernière modification le : mercredi 24 juin 2020 - 16:19:56

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  • HAL Id : hal-01624855, version 7

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Guillaume Beaumont, Ronan Fablet, Angélique Drémeau. DOA estimation in fluctuating environments: an approximate message-passing approach. [Research Report] ENSTA Bretagne; Lab-STICC. 2017. ⟨hal-01624855v7⟩

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