Research on algorithm of counter target lost for Maneuvering Reentry Vehicle using Infrared imaging terminal guidance

Maneuvering Reentry Vehicle using Infrared (IR) imaging terminal guidance is vulnerable to interference which cause the seeker lost target. According to this problem, first, this paper presents a new counter target lost Algorithm which combined extended state variable dimension passive location based on Extended Kalman Filter(EKF) and virtual guidance method to rebuild guidance information. Then the passive location accuracy of extended state variable dimension EKF and normal EKF algorithm is compared throughout simulation, at last, guidance accuracy of fore mentioned two algorithm and acceleration command memory algorithm are compared by circular error probable(CEP) simulation which based on six degree of freedom (6DoF) guidance and control model. Simulation results show the validity of the algorithm presented in this paper.