Abstract: Concerning the problem of low precision and easy divergence in estimation of the moving parameters for objects in the Bistatic Forward Scattering Barrier Radar, a new tracking filter algorithm is presented based on the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF).The new filter applies insensitiveness of UKF to initial estimation error to catch the object,which avoids the divergence due to the big error in initial estimation when using EKF,and then uses EKF to keep the tracking of objects,which avoids low precision and divergence due to sensitiveness of UKF to the system model error when the objects traverse the base line. Simulation results show the validity of the algorithm proposed in the paper.

Key words: Kalman filter, forward scattering, estimation of moving parameters