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Robust Multi-Source Direction of Arrival Estimation Using a Single Acoustic Vector Sensor
2021
会议录名称2021 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS 2021) & 2021 IEEE CONFERENCE ON POSTGRADUATE RESEARCH IN MICROELECTRONICS AND ELECTRONICS (PRIMEASIA 2021)
发表状态已发表
DOI10.1109/APCCAS51387.2021.9687767
摘要

In conventional approaches of acoustic vector sensor (AVS) based direction of arrival (DOA) estimation under noisy and reverberant environment, all the raw time-frequency (TF) data are inputted for reliable TF points extraction, which is found not only redundant but also detrimental. In this work, the conventional AVS-based DOA estimation pipeline is reconfigured by introducing a frame-wise-single-source clustering (FWSSC) step which is used to minimize the possible contaminated TF points consumed by the following step such as single source points (SSP) detection and direct path dominant (DPD). Outliers are then removed based on the results of FWSSC. In the proposed FWSSC, the intensity vector instead of the estimated steering vector is used for single-centroid TF point clustering. It is shown that due to the reduced number of potentially contaminated TF points, the accuracy and robustness of DOA estimation can be significantly improved, especially for the cases where the angular differences between the sources are small. The proposed DOA estimation pipeline is applicable to any TF analysis based algorithms.

关键词Direction-of-arrival (DOA) estimation acoustic vector sensor (AVS) multi-source time-frequency point clustering
会议名称IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) / IEEE Conference on Postgraduate Research in Microelectronics and Electronics (PRIMEASIA)
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点null,null,ELECTR NETWORK
会议日期NOV 22-26, 2021
URL查看原文
收录类别EI ; CPCI ; CPCI-S
语种英语
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods ; Telecommunications
WOS记录号WOS:000791022500041
出版者IEEE
来源库IEEE
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/183431
专题信息科学与技术学院_博士生
信息科学与技术学院_公共教学平台_电子科学与技术实验教学中心
信息科学与技术学院_PI研究组_娄鑫组
信息科学与技术学院_硕士生
通讯作者Geng, Jianhua
作者单位
1.ShanghaiTech Univ, Shanghai, Peoples R China
2.Shanghai Engn Res Ctr Energy Efficient & Custom A, Shanghai, Peoples R China
第一作者单位上海科技大学
通讯作者单位上海科技大学
第一作者的第一单位上海科技大学
推荐引用方式
GB/T 7714
Geng, Jianhua,Wang, Sifan,Li, Juan,et al. Robust Multi-Source Direction of Arrival Estimation Using a Single Acoustic Vector Sensor[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2021.
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