Passive Track and Location Method with TDOA for Moving Target

Abstract

Aiming at the problem of passive tracking of moving target, this paper establishes a mathematical model for the multi station time difference location and passive tracking of the moving radiation source and proposes a passive tracking algorithm based on extended Calman filter (Kalman Filter Extended, EKF). At first, the two order constant velocity motion model is established, the initial value and the initial co-variance of the Cal-man filter are used as the initial value and the initial co-variance of the system. The simulation results show that the extended Cal-man filter is used to achieve the real-time results of the time difference location. The positioning accuracy is greatly improved, and the target trajectory is more obvious. The tracking results can be approximate. Finally, the effectiveness of the proposed algorithm is verified by the engineering experiments.