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车载GPS/DR组合导航系统卡尔曼滤波方法的改进
引用本文:高金辉,汪晓晨,贾利锋. 车载GPS/DR组合导航系统卡尔曼滤波方法的改进[J]. 河南师范大学学报(自然科学版), 2009, 37(2)
作者姓名:高金辉  汪晓晨  贾利锋
作者单位:河南师范大学,物理与信息工程学院,河南,新乡,453007;河南师范大学,物理与信息工程学院,河南,新乡,453007;河南师范大学,物理与信息工程学院,河南,新乡,453007
基金项目:河南省教育厅资助项目 
摘    要:将全球定位系统(GPS)和航位推算法(DR)两种定位方式结合,实现车辆GPS/DR组合定位系统的自适应信息融合.联合卡尔曼滤波器存在数学模型不确定性和误差模型的随机性的缺点,提出改进方法是采用联邦滤波器,并引入利用模糊推理建立的模糊自适应联邦滤波器,提高了系统的精度和功能.

关 键 词:信息融合  GPS/DR组合导航  自适应联邦滤波器

The Improvement on Kalman Filter Method for Vehicle GPS/DR Integrated Navigation System
GAO Jin-hui,WANG Xiao-chen,JIA Li-feng. The Improvement on Kalman Filter Method for Vehicle GPS/DR Integrated Navigation System[J]. Journal of Henan Normal University(Natural Science), 2009, 37(2)
Authors:GAO Jin-hui  WANG Xiao-chen  JIA Li-feng
Affiliation:College of Physics and Information Engineering;Henan Normal University;Xinxiang 453007;China
Abstract:Integrating the two position methods: global positioning system and dead reckoning,the data fusion method is set up for Vehicle GPS/DR Integrated Navigation System.Federated Kalman filter has several flaws in mathematical models uncertainty and error models randomicity,The improvement method uses an adaptive federated Kalman filter,drawing in a Fuzzy logic to set up a fuzzy adaptive federated kalman filter,sum up EKF,UKF,PF the three nonlinearity filter on principle of work,the advantages and disadvantages ...
Keywords:data fusion  GPS/DR Integrated Navigation System  adaptive federated kalman filter  
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