A Kalman tracker with a turning acceleration estimator for maneuvering target tracking

A Kalman filter based scheme is proposed for radar maneuvering target tracking. The proposed scheme estimates the target acceleration input vector directly from the feature of maneuvering target trajectories and updates the simple Kalman tracker by the acceleration estimates. The proposed acceleration estimator provides better maneuver-following capability than an input estimator which uses residues of the Kalman filter. Simulation results for various target profiles are included for a comparison of the performance of our proposed scheme with that of conventional trackers.

[1]  Y.t. Chan,et al.  A Kalman Tracker with a Simple Input Estimator , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[2]  R. Moose,et al.  Modeling and Estimation for Tracking Maneuvering Targets , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[3]  T. Benedict,et al.  Synthesis of an optimal set of radar track-while-scan smoothing equations , 1962 .

[4]  Ali T. Alouani,et al.  Two-stage Kalman estimator for tracking maneuvering targets , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.

[5]  NavalSurface WeaponsCenter.  Maneuvering Target Tracking Using Adaptive State Estimation , 1977 .

[6]  Y. Chan,et al.  A Kalman Filter Based Tracking Scheme with Input Estimation , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Andrew H. Jazwinski,et al.  Adaptive filtering , 1969, Autom..

[8]  R. E. Kalman,et al.  New Results in Linear Filtering and Prediction Theory , 1961 .

[9]  R. Moose.  An adaptive state estimation solution to the maneuvering target problem , 1975 .

[10]  R.J. McAulay,et al.  A Decision - Directed Adaptive Tracker , 1973, IEEE Transactions on Aerospace and Electronic Systems.