Abstract:

In FM based passive radar, the tracking performance of the traditional extended Kalman filter (EKF) is affected seriously by the glint noise. To solve this problem, a new passive radar tracking method is proposed based on particle filter (PF) and time of arrival (TOA) measurements. The method gains TOA measurements by multistations, utilizes the different bistatic angles to relieve the radar cross-section (RCS) glint and then uses nonlinear and non-Gaussian PF to track target, which reduces the measurements error resulted from glint noise, avoids the error caused by EKF linearization, so it can improve the passive tracking precision. The simulations show that the performance of the new method is superior to that of the EKF, especially in glint noise environment. The real data demonstrate the validity of the proposed method.