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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770915