目标处于机动多模型运动情况的定位跟踪时,单模型跟踪算法由于其跟踪目标模型的单一化,不能保证定位精度。采用交互式多模型卡尔曼滤波(IMM-KF)可以有效的解决目标模型之间的切换问题,实现对CV模型和CT模型机动目标的跟踪。仿真结果表明相比于单模型,该算法能很好的改善机动目标的跟踪性能。 When the target locates in the locomotion of multi-model maneuvering, the single model tracking algorithm can not guarantee the locating accuracy because of the simplification of the tracking target model. The interactive multi-model Kalman filter (IMM-KF) can effectively solve the problem of switching between the target models and realize the tracking of the maneuvering targets of the CV model and the CT model. Simulation results show that the proposed algorithm can greatly improve the tracking performance of maneuvering targets compared with single model.