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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28497

Title: Extended Kalman Particle Filter Angle Tracking (EKPF-AT) Algorithm for Tracking Multiple Targets
Authors: Sheng-Yun Hou;Hsien-Sen Hung;Tsai-Sheng Kao
Contributors: NTOU:Department of Electrical Engineering
國立臺灣海洋大學:電機工程學系
Keywords: angle tracking;direction of arrival (DOA);extended Kalman filter (EKF);particle filter (PF)
Date: 2010-07
Issue Date: 2011-10-21T02:37:47Z
Publisher: International Conference on System Science and Engineering
Abstract: Abstract:In this paper, we present an angle tracking algorithm based on the extended Kalman particle filter (EKPF), called EKPF-AT, using an array of sensors with known locations. This algorithm is capable of determining DOA angles using a single snapshot of data during the interval between each time step. The EKPF combines particle filtering (PF) with the extended Kalman filter (EKF) in order to prevent sample impoverishment during its resampling process. The effectiveness of the proposed algorithm is demonstrated via computer simulations in scenarios involving targets with crossing trajectories.
Relation: pp.216-220
URI: http://ntour.ntou.edu.tw/handle/987654321/28497
Appears in Collections:[電機工程學系] 演講及研討會

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