基于交互式多模型的主被动站跟踪算法

Under Gaussian white noise, the interactive multi-model algorithm is used to fuse the measurement information of the active station and the passive stations, and switch between various maneuvering state models to complete the positioning and tracking of the maneuvering target. Firstly, the measurement model is established according to the distance of the active station reaching the target and then reaching the passive stations, as well as the azimuth and pitch angle information of the target reaching the active and passive stations. Then, on the basis of the interactive multi-model algorithm, the Singer model is introduced on the basis of the conventional linear maneuvering model to simulate the target maneuvering motion. Finally, the target position obtained by solving the geometric relationship is used as the target initial solution, and the algorithm has better convergence than other initial models. Simulation experiments show that if the distance between the active and passive stations is tens of kilometers, the distance between the target and the active and passive stations is hundreds of kilometers, the arrival angle error is about 2°, and the arrival time error is about 20 m, then by using the interactive multi-model algorithm to track the target, the convergence error is at the 100 m level.