@inproceedings{3603c0e65cd84f2e86b8dc19a93a4f49,
title = "Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor",
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",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 19th National Conference on Man-Machine Speech Communication, NCMMSC 2024 ; Conference date: 15-08-2024 Through 18-08-2024",
year = "2025",
doi = "10.1007/978-981-96-1045-7_18",
language = "英语",
isbn = "9789819610440",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "212--223",
editor = "Zhenhua Ling and Xie Chen and Askar Hamdulla and Liang He and Ya Li",
booktitle = "Man-Machine Speech Communication - 19th National Conference, NCMMSC 2024, Proceedings",
}