The conventional Kalman tracking filter incurs mean tracking errors in the presence of a pilot-induced target maneuver. Chan,Hu, and Plant proposed a solution to this problem which used themean deviations of the residual innovation sequence to make corrections to the Kalman filter. This algorithm is further developedhere for the case of a one-dimensional Kalman filter, for which an Implementable closed-form recursive relation exists. Simulation results show that the Chan, Hu, and Plant method can accurately detect and correct an acceleration discontinuity under a variety of maneuver models and radar parameters. Also, the inclusion of thislogic into a multiple hypothesis tracking system is briefly outlined.
Tracking a Maneuvering Target Using Input Estimation
IEEE Transactions on Aerospace and Electronic Systems ; AES-23 , 3 ; 298-310
1987-05-01
2254475 byte
Article (Journal)
Electronic Resource
English
Novel Approach for Nonlinear Maneuvering Target Tracking Based on Input Estimation
British Library Conference Proceedings | 2012
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