An improved passive location algorithm based on UKF
With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and 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 called PFRC, based on EKF, 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 linearization processing of the EKF introduces truncation error, which degrades the estimation precision. In order to reduce the error, based on the PFRC and the unscented transform, an improved passive location algorithm is proposed. Simulation results show that the proposed algorithm has better estimation precision.