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Multiple source direction-of-arrival estimation applicable under near-, far-, and mixed-field scenarios.

Authors :
Hu, Yonggang
Mao, Tianpeng
Wei, Hewen
Niu, Siliang
Wang, Wei
Zhu, Xuchen
Source :
Journal of the Acoustical Society of America. May2024, Vol. 155 Issue 5, p2919-2933. 15p.
Publication Year :
2024

Abstract

Traditionally, direction-of-arrival (DOA) estimations under near- and far-field scenarios are treated as independent tasks based on the corresponding acoustic model, hence necessitating a proper soundfield detector as an upstream processing tool, whereas there may not be a distinct boundary between different soundfield types, especially the mixed-field scenarios where both near- and far-field sources coexist simultaneously. To handle this issue, this article investigates a multisource DOA estimator that equally localizes multiple near-, far-, and mixed-field sources, not requiring any specialized adjustments. We (i) define a signal-invariant multichannel feature denoted generalized relative harmonic coefficients in the spherical harmonics domain; (ii) derive the analytical expression of this feature and summarize its unique properties, exhibiting consistence for both near- and far-field sources; (iii) estimate source elevation and azimuth using the magnitude and phase parts of this feature, respectively; (iv) detect single-source dominated periods from the mixed measurements based on an investigated distance measure; and (v) count the number of sources and localize their DOAs by clustering the single-source dominated estimates. Extensive experimental results, in both simulated and real-life environments, finally confirm the effectiveness of the proposed algorithm under diverse acoustic scenarios, and a superiority over baseline approaches in localizing mixed-field sources. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00014966
Volume :
155
Issue :
5
Database :
Academic Search Index
Journal :
Journal of the Acoustical Society of America
Publication Type :
Academic Journal
Accession number :
177608993
Full Text :
https://doi.org/10.1121/10.0025856