Estimation and prediction for maneuvering target trajectories

The Kalman filter is well suited for application to the problem of anti-aircraft gun fire control. In this paper we make use of the Kalman filter theory, to develop an accurate, numerically efficient scheme for estimating and predicting the present and future position of maneuvering fixed-wing aircraft. This scheme was implemented in a radar tracker gun fire control system and tested against a variety of fixed-wing aircraft targets. Actual field test results are presented to demonstrate the high accuracy pointing which can be achieved by this approach.

[1]  John M. Fitts,et al.  Aided Tracking as Applied to High Accuracy Pointing Systems , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Richard Moose,et al.  Adaptive tracking of abruptly maneuvering targets , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.

[3]  Paul Zarchan,et al.  Comparison of Kalman and finite memory filtering for gun fire control applications , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[4]  R. Singer.  Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets , 1970, IEEE Transactions on Aerospace and Electronic Systems.

[5]  B. Clark.  The development of an adaptive Kalman target tracking filter , 1976 .

[6]  Robert Fitzgerald,et al.  Simple Tracking Filters: Closed-Form Solutions , 1981, IEEE Transactions on Aerospace and Electronic Systems.