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一种改进EKF的双模导航系统的定位算法 被引量:3

Localization algorithm for improving EKF dual-mode navigation system
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摘要 针对提高GPS/BDS双模导航系统的伪距单点定位精度问题,研究了GPS/BDS双模导航系统定位的解算方法,并对组合系统构建数学模型,引入扩展卡尔曼滤波(EKF)器进行定位解算,初始化权矩阵时通过牛顿迭代法改进矩阵求逆运算,并通过使用分段函数改进EKF中的权矩阵P,提出一种基于EKF的GPS/BDS导航定位解算方法。理论分析和实验结果表明,通过对比单GPS系统和最小二乘解算方法,利用双模系统并通过EKF能将定位精度在水平方向提高10%,高程方向提高43%,并极大地减小了运算量,提高系统的可靠性和完好性。 In order to improve the accuracy of pseudo-range single point positioning of GPS/BDS dualmode navigation system,the solution method of GPS/BDS dual-mode navigation system positioning is studied,the mathematical model of the combined system is constructed and an extended Kalman filter(EKF)is introduced to position solution,and the matrix inversion operation is improved by the Newton iteration method when the weight matrix is initialized.Based above and using the piecewise function to improve the weight matrix P in the EKF,a GPS/BDS navigation based on the improved ex-tended Kalman filter(EKF)is proposed.Theoretical analysis and experimental results show that by comparing the least squares solution method and the improved Kalman filter algorithm,the dual-mode system and the EKF can increase the positioning accuracy by 10%in the horizontal direction and 43%in the elevation direction,what greatly reduces the amount of computation and improves the reliability and integrity of the system.
作者 胡朝阳 裴炳南 裴腾达 马豪杰 HU Chao-yang;PEI Bing-nan;PEI Teng-da;MA Hao-jie(Liaoning Engineering Laboratory of BeiDou High-precision Location Service,Dalian University,Dalian 116622,Liaoning Province,China;Quanzhou Institute of Information Engineering,Quanzhou 362000,Fujian Province,China)
出处 《信息技术》 2019年第4期1-5,共5页 Information Technology
基金 国家自然科学基金(61271379)
关键词 扩展卡尔曼滤波 最小均方根值 GDOP 伪距定位 EKF RMS GDOP Pseudo-range positioning
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