基于交互多模型的空间目标序贯滤波跟踪算法

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中图分类号：V448.2 文献标志码：A 文章编号：2095-2945（2025）29-0001-05

Abstract：Aimingatthemaneuveringcharacteristicsof spaceobjectsdetectedbyspace-basedradarandthescenes with Dopplermeasurementinformation，interacting multiplemodel （IMM）wasintroducedintothesequentialfilteringbasedonCubature KalmanFilterwithMeasurementTransformation（CMCKF-D），andInteractingMultipleModel-basedCubatureMixtureCorretropy KalmanFilterwithDifusion（IMM-CMCKF-D）wasobtained.Thealgorithmisbasedonmultiplemotionmodels.Thefilters algorithmcorrspondingtothesub-modelsuseCMCKF-Dsequentialfilteringtoprocessthethree-dimensionalposition informationandDopplerinfomationofthetarget.inallthefilteroutputsarefusedacordingtothemodelprobabilitytobtain thefinalstateestimationresult.MonteCarlosimulationresultsshowthattheproposedalgorithmcanefectivelytrack maneuvering targets.

Keywords：targettracking;interactingmultiplemodel（MM）;sequentialfitering;Dopplermeasurement;cubatureKalanfilter

由于空间目标和天基雷达在太空中都具有很高的速度，低轨情况下为 7.5km/s 左右，目标相对于雷达的运动呈现高速、机动的特点。（剩余6562字）