English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6498/11670
Visitors : 27693344      Online Users : 136
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11823

Title: A Two-level Estimation Approach for a Radar System
Authors: Liu, W.-C.;Lai, C.-W.;Chung, Yi-Nung;Pan,T.-S.
Contributors: 電機工程學系
Keywords: Kalman filter;Maneuvering conditions;Two-level estimation algorithm
Date: 2009-12
Issue Date: 2012-07-02T02:11:10Z
Publisher: 高雄應用科技大學,IEEE
Abstract: In a radar surveillance system, both non-maneuvering and maneuvering conditions are usually existed during the tracking process. The computation of a radar system is complicated to track multiple maneuvering targets in real time. In order to assure the tracking accuracy in a tracking, a new estimation approach for a radar system is developed in this paper. The major concept of this approach is that the system uses two-level estimation algorithm based on Kalman filter equations in a radar tracking system. In this paper, we convince that the new estimator can track maneuvering targets well.
Relation: 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009, Kaohsiung, December 7-9, 2009
Appears in Collections:[電機工程學系] 會議論文

Files in This Item:

File SizeFormat

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