| 车辆导航中的交互多模卡尔曼滤波跟踪方法 |
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| 引用本文： | 孔金生,翟弦.车辆导航中的交互多模卡尔曼滤波跟踪方法[J].计算机工程与应用,2009,45(14):198-200. |
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| 作者姓名： | 孔金生 翟弦 |
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| 作者单位： | 郑州大学,电气工程学院,郑州,450001 |
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| 基金项目： | 河南省教育厅科技攻关项目 |
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| 摘 要： | 对GPS车辆定位中常用的卡尔曼滤波技术的扩展与应用进行了研究,建立了车辆运动的两种基本模型,并针对车辆机动目标给出了基于交互多模卡尔曼滤波跟踪的车辆导航方法,该方法能够有效地减小跟踪误差,并克服了传统目标跟踪算法的滞后性等缺点。
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| 关 键 词： | 交互多模卡尔曼滤波 车辆导航 目标跟踪 |
| 收稿时间： | 2008-3-18 |
| 修稿时间： | 2008-6-10
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Application of IMM-kalman filter algorithmin vehicle navigation system |
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| KONG Jin-sheng,ZHAI Xian.Application of IMM-kalman filter algorithmin vehicle navigation system[J].Computer Engineering and Applications,2009,45(14):198-200. |
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| Authors: | KONG Jin-sheng ZHAI Xian |
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| Affiliation: | KONG Jin-sheng,ZHAI Xian College of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China |
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| Abstract: | The extended and application of common kalman filter technique used in the GPS vehicle navigation system is studied,two basic models of the vehicle movement is established.Based on the maneuvering target,the Interaction Multiple Model kalman(IMM-kalman) filter algorithm is introduced.This method can effectively reduce the tracking error,and to overcome the traditional target tracking algorithms such as the lag of shortcomings. |
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| Keywords: | Interaction Multiple Model kalman（IMM-kalman） filter vehicle navigation target tracking |
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