Title :
A tracking algorithm for maneuvering targets
Author :
Wang, T.C. ; Varshney, Pramod K.
fDate :
7/1/1993 12:00:00 AM
Abstract :
A methodology for the tracking of maneuvering targets is presented. A quickest-detection scheme based on the innovation sequence is developed for a prompt detection of target maneuvers. The optimal length of a sliding window that minimizes the maneuver detection delay for a given false-alarm rate is determined. After maneuver detection, the system model is modified by adding a maneuver term. A recursive algorithm is proposed to estimate the maneuver magnitude. With this estimate, a modified Kalman filter is used for tracking. Simulation results demonstrate the superior performance of the algorithm, especially during target maneuvers
Keywords :
Kalman filters; digital filters; digital simulation; signal detection; tracking; false-alarm rate; maneuver detection; maneuver detection delay; maneuvering targets; modified Kalman filter; optimal length; recursive algorithm; simulation; sliding window; tracking algorithm; Acceleration; Autocorrelation; Degradation; Delay effects; Filters; Kalman filters; Random processes; Recursive estimation; State estimation; Target tracking; Technological innovation;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
