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基于改进的扩展卡尔曼滤波在GPS测速中的应用

冯雪丽 颜伏伍 胡杰

现代电子技术2016,Vol.39Issue(8):30-32,36,4.
现代电子技术2016,Vol.39Issue(8):30-32,36,4.DOI:10.16652/j.issn.1004-373x.2016.08.008

基于改进的扩展卡尔曼滤波在GPS测速中的应用

Application of improved extended Kalman filtering algorithm in velocity determination with GPS

冯雪丽 1颜伏伍 2胡杰1

作者信息

  • 1. 武汉理工大学 汽车工程学院,湖北 武汉 430070
  • 2. 杭州科技职业技术学院 机电工程学院,浙江 杭州 311402
  • 折叠

摘要

Abstract

Dynamic velocity determination had to meet the higher requirement from the vehicle electronic control system. The algorithm combining finite⁃difference algorithm with extended Kalman filtering algorithm has higher accuracy in GPS veloci⁃ty determination than GPS location difference velocity determination method,but there is a larger measuring error during the fast turning of car. The finite⁃difference operation is adopted to achieve the priori error covariance matrix and the posterior error cova⁃riance matrix of filtering to enhance the convergence of the filtering process,and then the finite⁃difference extended Kalman fil⁃tering algorithm is used to calculate car’s real⁃time location,so as to get the real⁃time speed of the vehicle. The experiment re⁃sults show that the improved algorithm has higher measuring accuracy than that of the extended Kalman filtering velocity determi⁃nation algorithm.

关键词

汽车电子控制系统/全球定位系统/动态测速/扩展卡尔曼滤波算法/有限差分运算

Key words

vehicle electronic control system/global positioning system/dynamic velocity determination/extended Kalman filtering algorithm/finite-difference operation

分类

信息技术与安全科学

引用本文复制引用

冯雪丽,颜伏伍,胡杰..基于改进的扩展卡尔曼滤波在GPS测速中的应用[J].现代电子技术,2016,39(8):30-32,36,4.

基金项目

国家自然科学基金项目Urea-SCR催化器失效机理及其故障诊断与容错控制方法研究 ()

现代电子技术

OA北大核心CSTPCD

1004-373X

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