Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor

Bing Zhu; Wen Zhang

doi:10.1007/978-981-96-1045-7_18

Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor

Bing Zhu, Wen Zhang

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The localization of the sound source is crucial in audio signal processing, especially when using acoustic vector sensors. Traditional methods typically utilize active intensity vector information to estimate the direction of arrival (DOA). However, these methods often fail to estimate the DOA of small-amplitude sound sources in the presence of high interference. This study introduces an innovative approach that uses the reactive intensity vector as a clue to enhance the estimation of DOA for sound sources. The simulation results confirm that our proposed method consistently outperforms traditional techniques in estimating DOA for small-amplitude sound sources.

Original language	English
Title of host publication	Man-Machine Speech Communication - 19th National Conference, NCMMSC 2024, Proceedings
Editors	Zhenhua Ling, Xie Chen, Askar Hamdulla, Liang He, Ya Li
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	212-223
Number of pages	12
ISBN (Print)	9789819610440
DOIs	https://doi.org/10.1007/978-981-96-1045-7_18
State	Published - 2025
Event	19th National Conference on Man-Machine Speech Communication, NCMMSC 2024 - Urumqi, China Duration: 15 Aug 2024 → 18 Aug 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2312 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	19th National Conference on Man-Machine Speech Communication, NCMMSC 2024
Country/Territory	China
City	Urumqi
Period	15/08/24 → 18/08/24

Keywords

Active intensity vector
DOA estimation
Reactive intensity vector

Access to Document

10.1007/978-981-96-1045-7_18

Cite this

Zhu, B., & Zhang, W. (2025). Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor. In Z. Ling, X. Chen, A. Hamdulla, L. He, & Y. Li (Eds.), Man-Machine Speech Communication - 19th National Conference, NCMMSC 2024, Proceedings (pp. 212-223). (Communications in Computer and Information Science; Vol. 2312 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-1045-7_18

Zhu, Bing ; Zhang, Wen. / Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor. Man-Machine Speech Communication - 19th National Conference, NCMMSC 2024, Proceedings. editor / Zhenhua Ling ; Xie Chen ; Askar Hamdulla ; Liang He ; Ya Li. Springer Science and Business Media Deutschland GmbH, 2025. pp. 212-223 (Communications in Computer and Information Science).

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abstract = "The localization of the sound source is crucial in audio signal processing, especially when using acoustic vector sensors. Traditional methods typically utilize active intensity vector information to estimate the direction of arrival (DOA). However, these methods often fail to estimate the DOA of small-amplitude sound sources in the presence of high interference. This study introduces an innovative approach that uses the reactive intensity vector as a clue to enhance the estimation of DOA for sound sources. The simulation results confirm that our proposed method consistently outperforms traditional techniques in estimating DOA for small-amplitude sound sources.",

keywords = "Active intensity vector, DOA estimation, Reactive intensity vector",

author = "Bing Zhu and Wen Zhang",

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Zhu, B & Zhang, W 2025, Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor. in Z Ling, X Chen, A Hamdulla, L He & Y Li (eds), Man-Machine Speech Communication - 19th National Conference, NCMMSC 2024, Proceedings. Communications in Computer and Information Science, vol. 2312 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 212-223, 19th National Conference on Man-Machine Speech Communication, NCMMSC 2024, Urumqi, China, 15/08/24. https://doi.org/10.1007/978-981-96-1045-7_18

Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor. / Zhu, Bing; Zhang, Wen.
Man-Machine Speech Communication - 19th National Conference, NCMMSC 2024, Proceedings. ed. / Zhenhua Ling; Xie Chen; Askar Hamdulla; Liang He; Ya Li. Springer Science and Business Media Deutschland GmbH, 2025. p. 212-223 (Communications in Computer and Information Science; Vol. 2312 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2025

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AB - The localization of the sound source is crucial in audio signal processing, especially when using acoustic vector sensors. Traditional methods typically utilize active intensity vector information to estimate the direction of arrival (DOA). However, these methods often fail to estimate the DOA of small-amplitude sound sources in the presence of high interference. This study introduces an innovative approach that uses the reactive intensity vector as a clue to enhance the estimation of DOA for sound sources. The simulation results confirm that our proposed method consistently outperforms traditional techniques in estimating DOA for small-amplitude sound sources.

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Zhu B, Zhang W. Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor. In Ling Z, Chen X, Hamdulla A, He L, Li Y, editors, Man-Machine Speech Communication - 19th National Conference, NCMMSC 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 212-223. (Communications in Computer and Information Science). doi: 10.1007/978-981-96-1045-7_18