Infrared imaging Maneuvering Reentry Vehicle counter target lost algorithm using Modified Gain Extended Kalman Filter

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 counter target lost Algorithm which combined passive location based on Modified Gain Extended Kalman Filter (MGEKF) and virtual guidance method to rebuild guidance information. Then the passive location accuracy of MGEKF and EKF algorithm is compared throughout simulation, at last, guidance accuracy of fore mentioned two algorithms and Line of Sight(LOS) angle rate 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.