Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101743
Title: A random finite set approach for joint detection and tracking of multiple wideband sources using a distributed acoustic vector sensor array
Authors: Zhong, Xionghu
Premkumar, A. B.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Zhong, X., & Premkumar, A. B. (2012). A random finite set approach for joint detection and tracking of multiple wideband sources using a distributed acoustic vector sensor array. 2012 15th International Conference on Information Fusion (FUSION), 519-526.
Abstract: This paper considers the problem of tracking multiple wideband acoustic sources in three dimensional (3-D) space using a distributed acoustic vector sensor (AVS) array. Least square approaches have been proposed to fuse the DOA measurements and estimate the 3-D position. However, the performance of position estimation can be seriously degraded by inaccurate DOA estimates, and also multiple source localization is impossible unless the DOA estimates can be associated to each source correctly. In this paper, A random finite set (RFS) approach is developed to jointly detect and track multiple wideband acoustic sources. An RFS is able 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 (i.e., source detections, false alarms and miss detections). Since deriving a closed-form solution does not exist for the multi-source probability density, a particle filtering approach is employed to arrive at a computationally tractable approximation of the RFS densities. Simulations in different tracking scenarios demonstrate the ability of the proposed approaches in multiple acoustic source detection and tracking.
URI: https://hdl.handle.net/10356/101743
http://hdl.handle.net/10220/19735
URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289846&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6289846
Rights: © 2012 International Society of Information Fusion. This paper was published in 2012 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of International Society of Information Fusion. The paper can be found at the following official URL:http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289846&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6289846.  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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