Application of IMM-kalman filter algorithmin vehicle navigation system

doi:10.3778/j.issn.1002-8331.2009.14.061

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (14): 198-200.DOI: 10.3778/j.issn.1002-8331.2009.14.061

• 工程与应用 • Previous Articles Next Articles

Application of IMM-kalman filter algorithmin vehicle navigation system

KONG Jin-sheng,ZHAI Xian

College of Electrical Engineering，Zhengzhou University，Zhengzhou 450001，China

Received:2008-03-18 Revised:2008-06-10 Online:2009-05-11 Published:2009-05-11
Contact: KONG Jin-sheng

车辆导航中的交互多模卡尔曼滤波跟踪方法

孔金生,翟弦

郑州大学电气工程学院，郑州 450001

通讯作者: 孔金生

Abstract

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.

Key words: Interaction Multiple Model kalman（IMM-kalman） filter, vehicle navigation, target tracking

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。

关键词: 交互多模卡尔曼滤波, 车辆导航, 目标跟踪

KONG Jin-sheng,ZHAI Xian. Application of IMM-kalman filter algorithmin vehicle navigation system[J]. Computer Engineering and Applications, 2009, 45(14): 198-200.

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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Application of IMM-kalman filter algorithmin vehicle navigation system

车辆导航中的交互多模卡尔曼滤波跟踪方法

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