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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11813

Title: Applying Dual-Kalman Filtering Algorithm to Radar Estimation Systems
Authors: Chung, Yi-Nung;Juang, D. J.;Chuang, K. C.
Contributors: 電機工程學系
Keywords: Maneuvering estimation;Gaussian process;Dual-Kalman filtering algorithm
Date: 2008-05
Issue Date: 2012-07-02T02:10:26Z
Publisher: 真理大學航空服務管理系;華格那企業有限公司
Abstract: Target Maneuvering situations are usually occurred in radar target tracking systems. Tracking maneuvering targets in a radar system is complicated because it can not directly measure target accelerations. Among target tracking algorithms, Kalman filtering approaches are the usually applied techniques, and the standard assumptions are Gaussian process and Gaussian noises. In this paper, we explore a Dual-Kalman filtering algorithm to handle the maneuvering targets' tracking problems. Based on this approach, the maneuvering situation can be detected and estimated effectively. According to the simulation results, this approach can improve the tracking accuracy. Such achievement will offer a lot of contributions for the navigation systems
Relation: 航空產業創新發展學術研討會, 真理大學, 2008年5月23日: 52-66
Appears in Collections:[電機工程學系] 會議論文

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