DocumentCode :
641699
Title :
Batch initiation using weighted least square algorithm for Tactical Ballistic Missile tracking
Author :
Yonghua Tian ; Yanling Jia ; Yong Huang
Author_Institution :
Beijing Inst. of Radio Meas., Beijing, China
fYear :
2013
fDate :
14-16 April 2013
Firstpage :
1
Lastpage :
4
Abstract :
Long-range Phased Array Radar for ballistic defense tracks the Tactical Ballistic Missile ď TBM Đ in Tracking And Searching (TAS) mode. While the range is very large, the accuracy is so bad that the traditional two-state initiation couldn´t predict the beam position correctly which accounts for the missing of target. In order to solve the problem, this paper introduces the weighted least square algorithm to get the initial state and covariance matrix. Simulation results show that this method could fasten the convergence effectively and reduce the probability of beam position departure from the true position of target.
Keywords :
covariance matrices; least squares approximations; missiles; phased array radar; TAS mode; Tracking And Searching mode; ballistic defense tracks; batch initiation; beam position; convergence; covariance matrix; long-range phased array radar; tactical ballistic missile tracking; target position; two-state initiation; weighted least square algorithm; Extended Kalman Filter (EKF); TBM tracking; batch initiation; weighted least square;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
Type :
conf
DOI :
10.1049/cp.2013.0287
Filename :
6624451
Link To Document :
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