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Interactive Multi-model Target Maneuver Tracking Method Based on the Adaptive Probability Correction

机译:基于自适应概率校正的交互式多模型目标机动跟踪方法

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Non-cooperative target tracking is a key technology for complex space missions such as on-orbit service. To improve the tracking performance during the unknown maneuvering phase of the target, two methods including the IMM (interactive multi-model) algorithm based on extended CW equation and the variable IMM algorithm based on CW and extended CW equation are presented. The analysis and simulation results show that the higher the maneuvering index of the target is, the more obvious the advantages of the classical augmented IMM method are. However, the variable dimension IMM method has consistent performance for all the maneuver index interval of the target, and it is relatively suitable for engineering applications due to the lower complexity of algorithm.
机译:非合作目标跟踪是用于复杂空间任务(例如在轨服务)的一项关键技术。为了提高目标在未知机动阶段的跟踪性能,提出了两种方法,包括基于扩展CW方程的IMM(交互式多模型)算法和基于CW和扩展CW方程的可变IMM算法。分析和仿真结果表明,目标机动指数越高,经典增强IMM方法的优势越明显。然而,变维IMM方法在目标的所有机动指标区间上都具有一致的性能,并且由于算法的复杂度较低,因此相对适合工程应用。

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