English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6491/11663
Visitors : 24904750      Online Users : 44
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11811

Title: Extended Neural Network Solution of Radar Tracking Problems
Authors: Juang, Dend-Jyi;Hu, Kuo-Chang;Lee, Mang-Liang;Wang, Chih-Yung;Chung, Yi-Nung
Contributors: 電機工程學系
Keywords: Data association;Neural network;Adaptive procedure
Date: 2007-10
Issue Date: 2012-07-02T02:10:22Z
Publisher: IEEE
Abstract: Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target
tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with
maneuvering situations.
Relation: IEEE TENCON 2007 TAIPEI, 2007年10月30-11月2日
Appears in Collections:[電機工程學系] 會議論文

Files in This Item:

File SizeFormat
index.html0KbHTML497View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


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