| 适于无源阵列跟踪机动目标的IMM-PF算法 |
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| 引用本文： | 郭艺夺,童宁宁,王凯.适于无源阵列跟踪机动目标的IMM-PF算法[J].电光与控制,2009,16(1). |
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| 作者姓名： | 郭艺夺 童宁宁 王凯 |
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| 作者单位： | 空军工程大学导弹学院,陕西,三原,713800 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 针对无源阵列对机动目标跟踪效果较差的问题,在融合交互式多模型和粒子滤波方法的基础上,提出了一种基于粒子滤波的交互多模型(IMM-PF)算法.该算法采用多模型结构以跟踪目标的任意机动;各模型采用粒子滤波算法,以处理非线性、非高斯问题.各模型中相对固定数目的粒子群经过相互交互、粒子滤波后再进行重抽样以减少滤波退化现象.与典型的交互式多模型算法(IMM-KF)进行了比较,计算机仿真结果证实了新算法的正确性和有效性.
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| 关 键 词： | 机动目标跟踪 交互式多模型 粒子滤波 非线性/非高斯问题 重抽样 |
IMM-PF Algorithm for Passive Array Tracking of Maneuvering Target |
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| GUO Yiduo,TONG Ningning,WANG Kai.IMM-PF Algorithm for Passive Array Tracking of Maneuvering Target[J].Electronics Optics & Control,2009,16(1). |
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| Authors: | GUO Yiduo TONG Ningning WANG Kai |
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| Affiliation: | Missile Institute;Air Force Engineering University;Sanyuan 713800;China |
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| Abstract: | Passive array is generally not so effective in tracking maneuvering target.To solve the problem,an Interacting Multi-Model Particle Filter(IMM-PF) algorithm is presented based on Interacting Multiple Model(IMM) and particle filter.The algorithm uses multiple models to track arbitrary maneuvering of the target.Each model uses particle filter to deal with the nonlinear/non-Gaussian problems.After interaction and particle filtering,the particles with relatively fixed number in each model are resampled to reduc... |
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| Keywords: | maneuvering target tracking interacting multiple model particle filter nonlinear/non-Gaussian issue resampling |
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