Single observer passive location using phase rate of change with the extended kalman particle filter

A new single observer passive location method combining phase rate of change (PRC) with extended kalman particle filter (EPF) algorithm is presented. EPF is a method of particle filter (PF) using the extended kalman filter (EKF) as the importance function. The position of the target emitter is obtained by processing the phase difference information from the phase interferometer. 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 EPF has faster and steady convergence speed, better filtering effect and better location precision than EKF.