An improved passive location algorithm for maneuvering target emitter
With the merits as hiding receiving, far responding distance and easy-deploying, the single observation passive location has a broad application in military domain. Especially, it plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm based on EKF (called PFRC) is proposed. Compared with two popular passive location methods which are bearing-only (BO) and phase-difference rate of change (PRC), the PFRC has good performance in that it has higher precision and higher speed. However, the PFRC, based on the EKF, can only give a biased state estimation, which has poor robustness and precision against model mismatching and is inapplicable for maneuvering target tracking. In order to overcome the above limitations, based on the PFRC and the strong tracking filter (STF), an improved passive location algorithm is proposed. Simulation results show that the proposed algorithm has better performance.