DocumentCode
2871897
Title
A robust tracker with real-time input estimation
Author
Xinxi, Fong ; Xiao Lizhen
Author_Institution
Air Force Inst. of Telecommun. Eng., Xi´´an, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1529
Abstract
A modified input estimation approach for tracking a manoeuvering target is developed by Xinxi (1996). The equation of increment of acceleration is described as a first-order autoregressive process. The increment of acceleration is estimated in real time by the residual of a standard Kalman filter and then is used to codify the target states. It has a good tracking property for an abrupt and highly manoeuvering target. But for an abrupt manoeuvering target, because of the large residual variation, the acceleration estimate may be too large at the manoeuver spot. A robust tracker is developed to reduce the variation of estimated acceleration. It is proved efficient to use the approach to improve the tracking of abrupt and highly manoeuvering targets
Keywords
Kalman filters; autoregressive processes; estimation theory; filtering theory; radar tracking; target tracking; tracking filters; Kalman filter; acceleration estimation; first-order autoregressive process; manoeuvering target; real-time input estimation; residual variation; robust tracker; Acceleration; Delay estimation; Equations; Filters; Gold; Noise measurement; Random processes; Robustness; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770915
Filename
770915
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