基于IMM的三维机动目标跟踪算法研究 |
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引用本文: | 董晓斐,邵巍.基于IMM的三维机动目标跟踪算法研究[J].滨州学院学报,2015(4):27-31. |
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作者姓名: | 董晓斐 邵巍 |
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作者单位: | 青岛科技大学 自动化与电子工程学院,山东 青岛,266042 |
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基金项目: | 国家自然科学基金资助项目(61104187),山东省优秀中青年科学家科研奖励基金项目(BS2012NY003) |
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摘 要: | 对单站雷达三维空间机动目标的跟踪方法进行了研究,选取匀速运动模型分别组合"当前"统计模型和Singer模型的两种交互多模型跟踪滤波算法来处理三维空间机动目标测量数据并进行仿真分析,仿真结果表明,IMM算法的滤波结果优于单模型滤波,验证了算法对机动目标的跟踪有效性。
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关 键 词: | 三维机动目标跟踪 “当前”统计模型 Singer模型 交互式多模型 |
Research on 3D Maneuvering Target Tracking Based on IMM Algorithm |
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Abstract: | The target tracking problems of the monostatic radar in the 3D space are studied in this pa-per.It respectively combines constant velocity (CV)model with “current”statistical model or Singer model in order to form a new Interacting Multiple Model (IMM)tracking algorithm.Then,it utilizes IMM algorithms to process the measurement data of 3D maneuvering target and to analyze the simula-tions.Simulation results show that filtering effect of IMM algorithms is apparently better than that of single models,and verify the tracking effectiveness of the algorithms. |
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Keywords: | 3D maneuvering target tracking “current”statical model Singer model IMM |
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