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一种新的机动目标跟踪的多模型算法 被引量:1

A New IMM Method for Tracking Maneuvering Target
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摘要 IMM算法只有在精确选取模型时才能取得良好的效果,本文采用一种新的"当前"Jerk模型(CS-Jerk模型)与匀速运动模型进行交互,讨论并证明了新的"当前"统计Jerk模型,即CS-Jerk模型对突发机动自适应跟踪性能好。仿真结果表明,在跟踪一般机动目标时,本文算法的误差和"当前"统计模型与CV模型交互的IMM算法相当;在跟踪突发机动目标时,其误差明显小于"当前"统计模型与CV交互的IMM算法。 Interacting Multiple Models(IMM) works well only when models were selected accurately.In this paper,a new IMM algorithm for tracking maneuvering target is proposed,by means of a new a current statistic Jerk model(CS-Jerk model) and a CV(Constant Velocity) model for interaction.Through analysis,the CS-Jerk model itself has a high precision when tracking abrupt maneuvering target.Simulation results show that,when there is only common maneuver the performance of the algorithm is the same with the IMM-CS-Jerk/CV,when there is a sudden maneuver,the performance of this algorithm is much better than the IMM-CS-Jerk/CV.
作者 陈莉 徐庆民
出处 《陕西国防工业职业技术学院学报》 2008年第3期42-45,共4页 Journal of Shaanxi Institute of Technology
关键词 机动目标跟踪 交互式多模型 卡尔曼滤波 JERK模型 Maneuvering target tracking IMM(Interacting Multiple Models) Kalman filter Jerk model
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参考文献10

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二级参考文献5

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