National Changhua University of Education Institutional Repository : Item 987654321/11780
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6491/11663
造访人次 : 23792752      在线人数 : 128
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/987654321/11780

题名: Applying Neural Network Algorithm to Data Association Technique
作者: Chung, Yi-Nung;Chen, H.-T.;Juang, D.-J.;Chen, J.-Y.;Lee, J.-R.
贡献者: 電機工程學系
关键词: Data association;Competitive Hopfield neural network;Kalman filter
日期: 2005-05
上传时间: 2012-07-02T02:08:27Z
出版者: IEEE
摘要: Data association plays an important role in radar tracking algorithm .The problem of tracking multiple targets is studied in this paper. In order to solve the complicated situation and reduce computation burden because of the multiple tracking environment, an approach has been developed in this paper. This algorithm is implemented with an adaptive filter which consists of a data association technique denoted competitive Hopfield
neural network and Kalman filtering to solve both data association and target tracking problems simultaneously. In order to prove the tracking performance, a computer simulation algorithm is proposed in this paper. Because of its computation capability of this algorithm, the radar measurement related to existed target tracks can be chosen optimally. Computer simulation results indicate that this approach
successfully and optimally solves the data association problems.
關聯: IEEE CNNA, 2005年5月28-30日: 114-117
显示于类别:[電機工程學系] 會議論文

文件中的档案:

档案 大小格式浏览次数
index.html0KbHTML440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