Title :
Maneuvering target tracking using real-time input estimation
Author :
Xingxi, Feng ; Zuoliang, Liu ; Lei, Shi
Author_Institution :
Air Force Inst. of Telecommun. Eng., Xian, China
Abstract :
A modified input estimation approach for tracking maneuvering targets is developed. The equation of increment of acceleration is described as a first order autoaggressive process. The increment of acceleration is estimated in real time by the residual of a standard Kalman filter and then is used to modified the target states. The simulation results for this approach show that it has a good tracking property for abrupt and high maneuvering targets. This method has been successfully applied to multi-target tracking in a clutter environment
Keywords :
Kalman filters; acceleration; filtering theory; motion estimation; parameter estimation; radar clutter; radar tracking; tracking filters; Kalman filter residual; acceleration increment equation; clutter environment; first order autoaggressive process; maneuvering target tracking; modified input estimation; multitarget tracking; real-time input estimation; simulation results; target motion; target states; target tracking filter; tracking property; Acceleration; Delay; Equations; Filters; Least squares approximation; Noise level; Random processes; State estimation; Target tracking; Telecommunications;
Conference_Titel :
Radar, 1996. Proceedings., CIE International Conference of
Conference_Location :
Beijing
Print_ISBN :
0-7803-2914-7
DOI :
10.1109/ICR.1996.574596
