National Changhua University of Education Institutional Repository : Item 987654321/11805
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題名: Applying Image Processing and Neural Network Techniques to Data Association Algorithm
作者: Chung, Yi-Nung
貢獻者: 電機工程學系
關鍵詞: Multiple-target tracking;Data association;Competitive Hopeld neural network
日期: 2011-05
上傳時間: 2012-07-02T02:09:50Z
出版者: Kyushu Tokai University
摘要: Multiple-target tracking (MTT) is a prerequisite step for radar surveillance systems. Data association is the key technique used in radar MTT systems. This paper presents a new approach for data association that uses both quantity data and image information. In order to combine these two attributes, a fusion algorithm based on the competitive Hop eld neural network (CHNN) is developed to match radar measurements
with existing target tracks. When target maneuvering problems are detected, an adaptive maneuvering estimator is applied. Computer simulation results indicate that the proposed approach is suitable for multiple-target tracking problems and has good performance.
關聯: International Journal of Innovative Computing, Information and Control, 7(5A): 2427-2439
顯示於類別:[電機工程學系] 期刊論文

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