Modified iterated extended Kalman particle filter for single satellite passive tracking

Authors : Panlong WU, Jianshou KONG, Yuming BO

Pages : 120-130

Doi:10.3906/elk-1107-29

View : 12 | Download : 4

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Single satellite-to-satellite passive tracking techniques have great significance in space surveillance systems. A new passive modified iterated extended Kalman particle filter insert ignore into journalissuearticles values(MIEKPF); using bearings-only measurements in the Earth-Centered Inertial Coordinate System is proposed. The modified iterated extended Kalman filter insert ignore into journalissuearticles values(MIEKF);, with a new maximum likelihood iteration termination criterion, is used to generate the proposal distribution of the MIEKPF. Moreover, a new measurement update equation of the MIEKF is derived by modifying the objective function of the Gauss--Newton iteration. The approximated second-order linearized state propagation equation, Jacobian matrix of state transfer, and measurement equations are derived in satellite 2-body movement. The tracking performances of the MIEKPF, iterated extended Kalman particle filter insert ignore into journalissuearticles values(IEKPF);, extended Kalman particle filter insert ignore into journalissuearticles values(EKPF);, and extended Kalman filter insert ignore into journalissuearticles values(EKF); are compared via Monte Carlo simulations through simulated data from STK8.1. The simulation results indicate that the proposed MIEKF is capable of passively tracking a low earth circular orbit satellite with a high earth orbit satellite using bearings-only measurements and has higher tracking precision than the traditional algorithms.
Keywords : Key words Bearings, Gauss Newton iteration, modified iterated extended Kalman filter, particle filter, passive tracking