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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28556

Title: Multitarget tracking algorithms using angle innovations and extended Kalman filter
Authors: Sheng-Yun Hou;Hsien-Sen Hung;Yuan-Chang Chang;Shun-Hsyung Chang
Contributors: NTOU:Department of Electrical Engineering
國立臺灣海洋大學:電機工程學系
Date: 2009-03
Issue Date: 2011-10-21T02:38:06Z
Publisher: WSEAS TRANSACTIONS on SYSTEMS
Abstract: Abstract:In this paper, we propose a novel angle tracking algorithm, called as FPAT, for tracking multiple narrowband targets. The proposed algorithm modifies the algorithm presented by Park, et al. in two ways by using the sensor array output vector rather than the sample covariance matrix and by incorporating the extended Kalman filter instead of a simple Kalman filter. It also applies the prediction characteristic of Kalman filter to prevent the data association problem. The proposed algorithm requires lower computational complexity and also improves the tracking performance especially at lower number of snapshots. Combined with the coherent signal-subspace (CSS) method, the FPAT algorithm is extended to track the direction-of-arrival angles of wideband sources. We also extend the FPAT algorithm to track the range, azimuth, and elevation of each narrowband source in 3-D space. Through computer simulations, the effectiveness of each proposed algorithm is verified.
Relation: 8(3), pp.420-429
URI: http://ntour.ntou.edu.tw/handle/987654321/28556
Appears in Collections:[電機工程學系] 期刊論文

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