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一种带改进“当前”统计模型的GPS/DR车辆组合定位系统
引用本文:董艳婷,张敬堂.一种带改进“当前”统计模型的GPS/DR车辆组合定位系统[J].通信技术,2008,41(7).
作者姓名:董艳婷  张敬堂
作者单位:信息工程大学信息工程学院,河南郑州,450002
摘    要:文中分析了"当前"统计模型在GPS/DR车辆组合定位实际应用中的问题,基于"当前"统计模型原理提出一种改进的"当前"统计模型,并将其应用于GPS/DR组合定位系统的数据融合中.实地跑车数据验证表明:使用该算法的定位系统无需任何参数的预先设定,即可实现对系统方差的自适应调整,对车辆的各种运动状态进行准确跟踪.

关 键 词:组合定位  数据融合  GPS/DR  改进的"当前"统计模型  卡尔曼滤波  改进  统计模型  车辆组合定位  定位系统  Current  Statistical  Model  Improved  System  localization  Integrated  跟踪  运动状态  调整  自适应  方差  参数  算法  使用  数据验证  跑车  数据融合

An GPS/DR Vehicle Integrated localization System With Improved Current Statistical Model
DONG Yan-ting,ZHANG Jing-tang.An GPS/DR Vehicle Integrated localization System With Improved Current Statistical Model[J].Communications Technology,2008,41(7).
Authors:DONG Yan-ting  ZHANG Jing-tang
Affiliation:DONG Yan-ting,ZHANG Jing-tang (Institute of Information Engineering,Information Engineering University,Zhengzhou Henan 450002,China)
Abstract:This paper analyzes the adverse influence of Current Statistical Model on the concrete GPS/DR vehicle integrated localization, and an improved Current Statistical Model used in GPS/DR Integrated localization System information fusion is given, which is based on the principle of Current Statistical Model. The real data tests prove that the system with this algorithm can implement self-adaptation to the system variance without any predetermined parameters, and track precisely the motion state of various vehic...
Keywords:integrated localization  information fusion  GPS/DR  improved current statistical model  Kalman filter  
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