基于扩展卡尔曼滤波的GPS动态测速算法  

A GPS dynamic velocity determination algorithm based on extended Kalman filter

作　　者：潘盛辉[1] 郝东亚[1] 张兴达[2] 

机构地区：[1]广西科技大学电气与信息工程学院,广西柳州545006 [2]广西科技大学鹿山学院汽车工程系,广西柳州545006

出　　处：《信息技术》2014年第12期13-16,共4页Information Technology

基　　金：广西自然科学基金项目资助(桂科青0991012)

摘　　要：为使车载GPS测速精度满足应用于汽车电子控制系统的要求,提出一种对包含白噪声的时变GPS位置数据采用扩展卡尔曼滤波进行测速算法。通过扩展卡尔曼滤波和位差法融合对实车采集到的汽车位置等信息进行处理得到行车速度。通过实验结果对比分析,基于扩展卡尔曼滤波的测速算法比位置差分法的均方差提高了92.499%,测速精度明显提升。To meet the requirements of vhehicl velocity accuracy from the measureed GPS time-relative positioning data for ground vehicle electronic control system, a GPS velocity determination algorithm based extended Kalman filter is presented to deal with the time-raring GPS signals data with while noise, which the vehicle velocity is determinated by the real-time acquisition GPS positioning data in the vehicle test. The comparative analysis results between extended Kalman filter algorithm with the differential position method show that the mean square error is raised by 92. 499%, the velocity precision of extended Kalman filter algorithm is improved significantly.

关 键 词：扩展卡尔曼滤波 GLOBAL POSITIONING System(GPS) 动态测速 

分 类 号：TN911.72[电子电信—通信与信息系统]