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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11791

Title: Applying image processing technique to radar target tracking problems
Authors: Wang, Kuen-Cheng;Chung, Yi-Nung;Hsu, Chao-Hsing;Chen, Tsair-Rong
Contributors: 電機工程學系
Keywords: Competitive Hopfield neural network;Data association;Image information
Date: 2010-10
Issue Date: 2012-07-02T02:08:44Z
Publisher: Institute of Electrical and Electronics Engineers
Abstract: Data association plays an important role in a radar multiple-target tracking (MTT) system. An approach for data association using image information is investigated in this paper. An algorithm applying the Competitive Hopfield Neural Network (CHNN) is developed to match between radar measurements and existing target tracks. If target maneuvering situations are occurred, an adaptive maneuvering estimator denoted dynamic multiple-model estimator is applied to solve the estimation problems. According to the simulation results, this algorithm can solve the multiple-target tracking problems successfully.
Relation: ICIC Express Letters, 4(5B): 1805-1810
Appears in Collections:[Department and Graduate Institute of Electronic Engineering] Periodical Articles

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