Reactive Intensity Vector Based Direct Path Detection for DoA Estimation on a Single Acoustic Vector Sensor

Bing Zhu, Wen Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

As a compact device, an acoustic vector sensor (AVS) has been widely used for source direction of arrival (DOA) estimation in 3D space. However, when deployed in complex environments, such as with strong noise, reverberation, and multiple sources, the DOA estimation accuracy degrades significantly. In this paper, we propose an efficient method for multi-source DOA estimation based on an AVS in a reverberant room environment. The method is based on exploiting a feature from the AVS signals, i.e., the reactive intensity vector, to detect the direct-path dominated parts of the received signals in time-frequency bins. Then, intensity-vector based DOA estimation is performed, which has low computational complexity. As demonstrated through experiments, the proposed method outperforms the state of the art methods even in highly reverberant environments.

Original languageEnglish
Title of host publication31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages256-260
Number of pages5
ISBN (Electronic)9789464593600
DOIs
StatePublished - 2023
Event31st European Signal Processing Conference, EUSIPCO 2023 - Helsinki, Finland
Duration: 4 Sep 20238 Sep 2023

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference31st European Signal Processing Conference, EUSIPCO 2023
Country/TerritoryFinland
CityHelsinki
Period4/09/238/09/23

Keywords

  • Acoustic vector sensor
  • DOA
  • multi-source
  • reactive intensity vector

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