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基于“当前”统计模型的交互式粒子滤波算法

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摘要 通过CV和CA模型对非机动和弱机动目标进行建模,采用“当前”统计模型的交互式模型的粒子滤波算法,并匹配卡尔曼滤波算法.该算法与传统的IMMPF滤波算法相比,显著的降低运算量,并提高其目标的跟踪精度.仿真结果证明了该算法在机动目标跟踪的性能上有所改善,并降低了经典交互式粒子滤波算法的复杂程度,使其更具有实时性.
作者 马莹
机构地区 长春建筑学院
出处 《中国设备工程》 2016年第16期84-86,共3页 China Plant Engineering
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