%0 Conference Proceedings
%T DOA estimation in structured phase-noisy environments
%+ Lab-STICC_ENSTAB_CID_TOMS
%+ Pôle STIC_AP
%+ Fluid Flow Analysis, Description and Control from Image Sequences (FLUMINANCE)
%A Drémeau, Angélique
%A Herzet, Cédric
%< avec comité de lecture
%( 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
%B 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017)
%C La Nouvelle Orléans, LA, United States
%P 3176-3180
%8 2017-03-05
%D 2017
%Z 1609.03503
%R 10.1109/ICASSP.2017.7952742
%K mean-field approximation
%K phase noise
%K variational Bayesian approximation
%K Direction-of-arrival estimation
%Z Mathematics [math]/Information Theory [math.IT]
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X In this paper we focus on the problem of estimating the directions of arrival (DOA) of a set of incident plane waves. Unlike many previous works, which assume that the received observations are only affected by additive noise, we consider the setup where some phase noise also corrupts the data (as for example observed in atmospheric sound propagation or underwater acoustics). We propose a new methodology to solve this problem in a Bayesian framework by resorting to a variational mean-field approximation. Our simulation results illustrate the benefits of carefully accounting for the phase noise in the DOA estimation process.
%G English
%L hal-01702246
%U https://hal-ensta-bretagne.archives-ouvertes.fr/hal-01702246
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