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DOA estimation in structured phase-noisy environments: technical report

2016/09/12 by Angélique Drémeau, Drémeau, Angélique, Cédric Herzet +1
Computer Science · Earth and Planetary Sciences · #Blind Source Separation Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Speech and Audio Processing #Underwater Acoustics Research

paper · pdf · doi:10.48550/arxiv.1609.03503

openalex publication_date 2016/09/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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