基于载波相位差分的形变监测高精度定位算法  

High-precision positioning algorithm for deformation monitoring based on carrier phase difference

作　　者：陈凯[1,2] 孙希延[1,2] 纪元法[1,2] 王守华[1,2] 陈紫强[1] CHEN Kai;SUN Xiyan;JI Yuanfa;WANG Shouhua;CHEN Ziqiang(Key Laboratory of Satellite Navigation and Location Awareness,Guilin University of Electronic Technology,Guilin Guangxi 541004,China;National and Local Joint Engineering Research Center of Satellite Navigation and Location Awareness(Guilin University of Electronic Technology),Guilin Guangxi 541004,China)

机构地区：[1]桂林电子科技大学卫星导航与位置感知重点实验室,广西桂林541000 [2]卫星导航定位与位置服务国家地方联合工程研究中心(桂林电子科技大学),广西桂林541000

出　　处：《计算机应用》2019年第4期1234-1239,共6页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61561016;11603041);广西科技厅项目(桂科AC16380014;桂科AA17202048;桂科AA17202033);四川省科技计划项目(17ZDYF1495);广西信息科学实验中心资助项目;桂林电子科技大学研究生教育创新计划项目(2018YJCX19)~~

摘　　要：传统载波相位差分算法在形变监测领域适用性不足,实时动态定位(RTK)精度难以满足要求,而载波双差静态相对定位连续解算时形变跟踪性能较低等。针对这些问题,在对动静态算法深入研究的基础上,提出一种基于载波相位差分的动静态自适应融合算法。通过方差变化法实时判断定位结果是否收敛,自适应调节扩展卡尔曼滤波(EKF)状态先验估计过程。在收敛时刻增大位置参数的先验估计误差的协方差值,使EKF后验估计过程倾向于信赖测量值;未收敛时刻通过EKF迭代,使EKF后验估计过程倾向于信赖状态预测值。实验结果表明:相比传统RTK新算法精度有明显提高,水平达±2 mm内,高程达到±4 mm内;相比静态定位则缩减了观测周期,提高了微小形变跟踪性能。Traditional carrier phase difference algorithm is not suitable for deformation monitoring,the accuracy of Real-Time Kinematic(RTK)positioning cannot meet requirements and static relative positioning based on carrier double-differential phase has poor deformation tracking performance with continuous calculations.To solve these problems,based on the deep research of dynamic and static algorithms,a dynamic and static adaptive fusion algorithm based on carrier phase difference was proposed.The convergence of positioning results was judged by variance-change method in real time,then the state priori estimation process of Extended Kalman Filter(EKF)was adaptively adjusted.In the process,the covariance value of priori estimation error of position parameters was increased at the convergence time,so that the posteriori process of EKF tended to trust measured value.EKF iteration was used at the non-convergence time,so that the posteriori process of EKF tended to trust state predicted value.The experimental results show that compared with traditional RTK,the accuracy of the new algorithm is improved,with horizontal accuracy of ±2 mm,and altitudinal accuracy of ±4 mm.Compared with static positioning,the observation period is reduced,and the tracking performance of micro-deformation is improved.

关 键 词：形变监测 实时动态定位 静态定位 方差变化 定位精度 

分 类 号：TN967.1[电子电信—信号与信息处理]