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Design and comparison of mode-set adaptive IMM algorithms formaneuvering target tracking

机译:用于机动目标跟踪的模式集自适应IMM算法的设计与比较

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摘要

The variable-structure multiple model (MM) state estimation approach is utilized for maneuvering aircraft (MA) radar tracking. Two adaptive time-varying mode-set interacting multiple model (IMM) tracking filters are designed and investigated: switching grid (SG) IMM and adaptive grid (AG) IMM algorithms, By Monte Carlo simulations the performances of the algorithms and the respective fixed grid (FG) IMM filter are evaluated and compared over different flight scenarios. It is shown that for the considered specific maneuvering target tracking problem, the SGIMM and AGIMM tracking filters significantly outperform the corresponding fixed structure version (the FGIMM filter) with respect to performance-to-computational load ratio
机译:变结构多模型(MM)状态估计方法用于机动飞机(MA)雷达跟踪。设计并研究了两种自适应时变模式集交互多模型(IMM)跟踪滤波器:交换网格(SG)IMM和自适应网格(AG)IMM算法,通过Monte Carlo仿真算法和相应固定网格的性能(FG)在不同的飞行情况下对IMM过滤器进行评估和比较。结果表明,对于所考虑的特定机动目标跟踪问题,SGIMM和AGIMM跟踪滤波器在性能与计算负载比方面明显优于相应的固定结构版本(FGIMM滤波器)

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