National Changhua University of Education Institutional Repository : Item 987654321/11757
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6507/11669
造访人次 : 29956638      在线人数 : 552
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/11757

题名: Applying Multiple-Observation Algorithm to Radar Target Tracking Problems
作者: Hu, Kuo-Chang;Pan, Tien-Szu;Li, Ming-Liang;Chung, Yi-Nung
贡献者: 電機工程學系
关键词: Multiple maneuvering targets;Multiple-observation algorithm;Multiple-model estimator;Competitive Hopfield neural network(CHNN)
日期: 2009
上传时间: 2012-07-02T02:07:38Z
出版者: The Aeronautical and Astronautical Society of the Republic of China
摘要: An approach of tracking multiple maneuvering targets using the multiple-observation algorithm is developed in this paper. With the developed algorithm, the sensors can be installed in fixed or moving systems which will improve the tracking accuracy and reliability of radar surveillance. Target maneuvering situations are usually existed in radar tracking systems and the maneuvering will cause severe tracking errors. Therefore accurately detecting and estimating maneuvering status of targets is one essential step in the reduction of tracking errors. In this paper, we apply a multiple-model estimator to track maneuvering targets for a radar system. Moreover, in order to achieve the optimal correlation between measurements and the existing targets, a data association using Competitive Hopfield Neural Network (CHNN) technique is applied in this system. Applying the proposed approach, the system will obtain the more accurate tracking results.
關聯: Journal of Aeronautics, Astronautics and Aviation, SeriesA, 41(3): 189-194
显示于类别:[電機工程學系] 期刊論文

文件中的档案:

档案 大小格式浏览次数
index.html0KbHTML649检视/开启


在NCUEIR中所有的数据项都受到原著作权保护.

 

DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈