研究了三维情况下IMM算法在无源时差定位系统中的应用。由于CV和Singer模型及CT模型状态变量维数不一致，导致IMM算法中数据无法有效地交互与融合。文中对CV和CT模型进行扩维改进，找到适合对三维机动目标进行跟踪的CV—Singer模型．通过与CV—nCT模型的跟踪效果仿真比较验证了其优越性。%The IMM algorithm for the three-dimensional （3-D） TDOA passive location system is presented. The interaction and fusion of data can not be achieved directly by the IMM algorithm as a result of the inconsistent state variable dimensions among CV, Singer and CT model. A dimensional extension on the CV and CT model is in- troduced in this paper. Besides, a CV-Singer model suitable for 3-D Maneuvering Target Tracking is established. According to the simulations, the CV-Singer model performs better than the CV-nCT model.
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