Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor

This paper considers the problem of tracking multiple acoustic sources using a single acoustic vector sensor (AVS). Firstly, a particle filtering (PF) approach is developed to track the direction of arrivals of fixed and known number of sources. Secondly, a more realistic tracking scenario which ass...

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Main Authors: Premkumar, A. B., Zhong, Xionghu
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/99511
http://hdl.handle.net/10220/13513
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-995112020-05-28T07:18:28Z Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor Premkumar, A. B. Zhong, Xionghu School of Computer Engineering DRNTU::Engineering::Computer science and engineering This paper considers the problem of tracking multiple acoustic sources using a single acoustic vector sensor (AVS). Firstly, a particle filtering (PF) approach is developed to track the direction of arrivals of fixed and known number of sources. Secondly, a more realistic tracking scenario which assumes that the number of acoustic sources is unknown and time-varying is considered. A random finite set (RFS) framework is employed to characterize the randomness of the state process, i.e., the dynamics of source motion and the number of active sources, as well as the measurement process. As deriving a closed-form solution for the multi-source probability density is difficult, a particle filtering approach is employed to arrive at a computationally tractable approximation of the RFS densities. The proposed RFS-PF algorithm is able to simultaneously detect and track multiple sources. Simulations under different tracking scenarios demonstrate the ability of the proposed approaches in tracking multiple acoustic sources. 2013-09-18T01:32:09Z 2019-12-06T20:08:14Z 2013-09-18T01:32:09Z 2019-12-06T20:08:14Z 2012 2012 Journal Article Zhong, X., & Premkumar, A. B. (2012). Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor. IEEE transactions on signal processing, 60(9), 4719-4733. 1053-587X https://hdl.handle.net/10356/99511 http://hdl.handle.net/10220/13513 10.1109/TSP.2012.2199987 en IEEE transactions on signal processing © 2012 IEEE
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Premkumar, A. B.
Zhong, Xionghu
Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor
description This paper considers the problem of tracking multiple acoustic sources using a single acoustic vector sensor (AVS). Firstly, a particle filtering (PF) approach is developed to track the direction of arrivals of fixed and known number of sources. Secondly, a more realistic tracking scenario which assumes that the number of acoustic sources is unknown and time-varying is considered. A random finite set (RFS) framework is employed to characterize the randomness of the state process, i.e., the dynamics of source motion and the number of active sources, as well as the measurement process. As deriving a closed-form solution for the multi-source probability density is difficult, a particle filtering approach is employed to arrive at a computationally tractable approximation of the RFS densities. The proposed RFS-PF algorithm is able to simultaneously detect and track multiple sources. Simulations under different tracking scenarios demonstrate the ability of the proposed approaches in tracking multiple acoustic sources.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Premkumar, A. B.
Zhong, Xionghu
format Article
author Premkumar, A. B.
Zhong, Xionghu
author_sort Premkumar, A. B.
title Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor
title_short Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor
title_full Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor
title_fullStr Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor
title_full_unstemmed Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor
title_sort particle filtering approaches for multiple acoustic source detection and 2-d direction of arrival estimation using a single acoustic vector sensor
publishDate 2013
url https://hdl.handle.net/10356/99511
http://hdl.handle.net/10220/13513
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