| 交互式多模型机动目标跟踪方法的仿真 |
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| 引用本文： | 尹瑞,王荫槐,王峰.交互式多模型机动目标跟踪方法的仿真[J].现代雷达,2007,29(7):52-54. |
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| 作者姓名： | 尹瑞 王荫槐 王峰 |
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| 作者单位： | 南京电子技术研究所,南京,210013 |
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| 摘 要： | 分析和研究利用CV模型和CA模型交互、CV模型和Singer模型交互、CV模型和“当前”统计模型交互分别对单机动目标进行跟踪。通过大量的计算机模拟仿真，比较了不同的模型组合在各种参数情况下的滤波性能，并且比较其和卡尔曼滤波（Singer模型）性能的优劣性，得出了一些有意义的结论。
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| 关 键 词： | 多目标跟踪 卡尔曼滤波 "当前"统计模型 机动目标跟踪 |
| 修稿时间： | 2007-03-122007-05-28 |
Interacting Multiple Model Filtering Algorithm for Maneuvering Target Tracking |
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| YIN Rui,WANG Yin-huai,WANG Feng.Interacting Multiple Model Filtering Algorithm for Maneuvering Target Tracking[J].Modern Radar,2007,29(7):52-54. |
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| Authors: | YIN Rui WANG Yin-huai WANG Feng |
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| Institution: | Nanjing Research Institute of Electronics Technology, Nanjing 210013, China |
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| Abstract: | A new Interacting Multiple Model(IMM) filtering algorithm is presented in this paper.Constant velocity model interactering with constant acceleration model,constant velocity model interactering with Singer model,constant velocity model interactering with "Current"statistical model are used for target tracking.Throuth a mass of computer emulatoring,filtering capability in different instance is compared.And filtering capability of IMM is compared with filtering capability of Kalman filtering.some useful conclusion is obtained. |
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| Keywords: | IMM Kalman filtering "current" statistical model maneuvering target tracking |
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