| 一种三维机动目标跟踪的改进IMM算法 |
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| 引用本文： | 韩宏亮,周希辰,袁桂生.一种三维机动目标跟踪的改进IMM算法[J].雷达与对抗,2010(4):29-33. |
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| 作者姓名： | 韩宏亮 周希辰 袁桂生 |
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| 作者单位： | [1]南京信息工程大学电子与信息工程学院,南京210044 [2]南京船舶雷达研究所,南京210003 |
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| 摘 要： | 以三维机动目标跟踪为背景，提出一种参数自适应交互式多模型跟踪算法。该算法采用当前量测信息实时地修正马尔可夫转移概率矩阵，有效地降低了人为因素的影响。由于三维CV（匀速运动）和CA（匀加速运动）模型状态变量维数不一致，从而导致使用IMM算法时数据不能直接交互融合。针对这一缺点，对CV模型进行了改进。Matlab仿真表明，使用改进后的CV模型并结合参数自适应IMM算法比使用常规的IMM算法跟踪效果更好，并具有很好的实用性。
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| 关 键 词： | 三维机动目标跟踪 交互式多模型 三维CV模型 |
An improved IMM algorithm of 3D maneuvering target tracking |
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| HAN Hong-liang,ZHOU Xi-chen,YUAN Gui-sheng.An improved IMM algorithm of 3D maneuvering target tracking[J].Radar & Ecm,2010(4):29-33. |
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| Authors: | HAN Hong-liang ZHOU Xi-chen YUAN Gui-sheng |
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| Affiliation: | 1. College of Electronics ＆ Information Engineering , Nanjing University of Information Science ＆ Technology, Nanfing 210044 ;2. Nanfing Marine Radar Institute, Nanfing 210003 ) |
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| Abstract: | Based on the 3D maneuvering target tracking, a parameter adaptive interacting multiple model （PAIMM） tracking algorithm is presented, in which the current measurement information is used to modify the Markov transition probability matrix in real time to effectively reduce the influence of human factors. Besides, the data interaction and fusion cannot be done directly due to the inconsistent dimensions of the state variables of the 3D CV and CA models. Therefore, the CV model is improved to solve the problem. The Matlab simulation indicates that the PAIMM algorithm with the improved CV model is superior to the conventional IMM algorithms in the target tracking with good and practical value. |
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| Keywords: | 3 D maneuvering target tracking interacting multiple model 3 D CV model |
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