Near and Supersonic Target Tracking Algorithm Based on Adaptive Kalman Filter

Abstract

Accurately intercept the supersonic moving target which speed is not less than 3Mach within 300m is the basic requirement of the super close-in antimissile system. So the fire control system must can brought out the accurately shoot parameter in limit time. The accurate tracking filter and predictive the future flying position within 1.5s quickly for the air arriving target are the core of the super close-in antimissile system to improve the shoot precision. Therefore, The moving method of near and high speed target is built firstly, afterward the target tracking and prediction algorithms based on adaptive Kalman filter are brought out. Lastly, the feasibility and validity of the algorithm are validated via by the factual flying data. The results show that the method and algorithm can preferably meet the requirement of tracking and prediction for the super close-in antimissile system.