A Tracking and Forecasting Method of High-Angle Dive Attack Target

Aiming at the threat of high-angle dive attack targets represented by guided bombs, this paper analyzes the relationship between azimuth tracking error and aiming error of high-angle dive targets with different pitching angles. Based on the traditional Kalman filter algorithm of conversion measurement, a conversion measurement Kalman filter algorithm based on fire control tilt coordinate system is proposed to obtain the target state, and then a target future point prediction method based on attitude estimation is proposed to solve the target future point. Finally, simulation shows that the tracking prediction method of high-angle dive attack targets proposed in this paper can effectively improve the tracking prediction accuracy of high-angle dive attack targets.