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ShanghaiTech University Knowledge Management System
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)
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发表状态 | 已发表 |
DOI | 10.1109/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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