Predictive Filter for Estimating the Target Acceleration

In this paper, in the background of studying the terminal guidance of an air-to-air missile, a real time predictive filter is derived for target acceleration estimation without the utilization of angular measurements from gyros, which will reduce the overload and the miss distance of missiles attacking maneuverable targets. To compare to Kalman filter, the result of simulation shows this algorithm has more accuracy, availability and robustness.