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

fYear

1996

fDate

8-10 Oct 1996

Firstpage

731

Lastpage

734

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 1996. Proceedings., CIE International Conference of

Conference_Location

Beijing

Print_ISBN

0-7803-2914-7

Type

conf

DOI

10.1109/ICR.1996.574596

Filename

574596