| 基于交互多模算法在非线性测量方程下的机动目标跟踪 |
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| 引用本文： | 刘丹,王宏强,黎湘. 基于交互多模算法在非线性测量方程下的机动目标跟踪[J]. 电光与控制, 2002, 9(4): 19-23 |
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| 作者姓名： | 刘丹 王宏强 黎湘 |
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| 作者单位： | 国防科学技术大学电子科学与工程学院ATR国家重点实验室,湖南,长沙,410073 |
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| 基金项目： | 国防预研基金项目资助 (4130 10 70 1- 2 ) |
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| 摘 要： | 针对非线性测量下的机动目标跟踪问题，本文基于交互多模型算法（IMM），采用去偏转换测量卡尔曼滤波（CMKF－D）的方法，把在极坐标系下得到的测量值转换到直角坐标系中，用统计的方法求出转换测量值的误差均值和方差，将转换测量值去偏后再进行卡尔曼滤波，仿真结果表明，算法提高了基于非线性测量方程的机动目标跟踪性能。
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| 关 键 词： | 算法 机动目标跟踪 卡尔曼滤波 交互多模型 非线性测量方程 |
| 文章编号： | 1671-637X(2002)04-0019-05 |
Maneuvering target tracking with non-linear measuring equations based on IMM algorithm |
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| LIU Dan,WANG Hong qiang,LI Xiang. Maneuvering target tracking with non-linear measuring equations based on IMM algorithm[J]. Electronics Optics & Control, 2002, 9(4): 19-23 |
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| Authors: | LIU Dan WANG Hong qiang LI Xiang |
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| Abstract: | In this paper the interacting multiple models algorithm and the converted measurement Kalman filter with debiasing are combined to realize the maneuvering target tracking with the non linear measuring equations. The measurements obtained in polar coordinates system is converted to rectangular coordinates system. The resulted data, with average error and variance being caculated out, is used for Kalman filtering after debiasing. The simulation proves that the mothod has a good result even if the measuring error were great. |
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| Keywords: | converted measurement Kalman filter with debiasing interacting multiple models (IMM) maneuvering target tracking non linear measuring equation |
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