DocumentCode :
3458026
Title :
A Two-Level Estimation Approach for a Radar System
Author :
Liu, W.-C. ; Lai, C.-W. ; Chung, Y.-N. ; Pan, T.-S.
Author_Institution :
Dept. of Electr. Eng., Da-Yeh Univ., Changhua, Taiwan
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
1236
Lastpage :
1239
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.
Keywords :
Kalman filters; estimation theory; radar tracking; search radar; target tracking; Kalman filter equations; maneuvering target tracking; radar surveillance system; radar tracking system; two-level estimation approach; Acceleration; Accelerometers; Control engineering education; Control systems; Equations; Radar detection; Radar tracking; Real time systems; Surveillance; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.61
Filename :
5412424
Link To Document :
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