Algorithm of 3-D Single Observer Passive Location with the Extended Kalman Particle Filter

In this paper, an algorithm of 3-D single observer passive location for fixed emitters based on the extended kalman particle filter (EPF) using the azimuth angle and its changing rate is proposed. EPF is a method of particle filter (PF) using the extended Kalman filter (EKF) as the importance function. The method obtains target emitter´s position by the principle of kinematic geometry. The raw location results are rectified and smoothed by EPF algorithm to realize fast and high precision passive target´s location. Simulation results show that the performance of algorithm based on EPF is better than EKF´s has faster and steady convergence speed, better filtering effect and better location precision.