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顾及实时位置预测信息的动态精密单点定位算法

     

摘要

In the traditional mode,kinematic precise point positioning (PPP) technique uses the kinematic sequential least squares algorithm to carry on the epoch recurrence solution.However,because of coordinate parameter's temporal characteristics,the epoch is not inherited,which makes the kinematic PPP algorithm losea priori position information constraints.Aiming at this problem,this paper discusses a kinematic precise point position algorithm which takes real-time position prediction information into account.It uses prediction residual information to determine the adaptive factor of each coordinate component.We analyze the positioning accuracy and the correlation with the sampling interval.Finally,the numerical simulation results show that the proposed method effectively improves the accuracy of high-frequency dynamic data processing,which has application value for the monitoring of slow deformation.%传统模式下动态精密单点定位(precise point positioning,PPP)技术可利用动态序贯最小二乘算法进行历元递推求解,坐标参数因其时变特性,历元间不进行继承,使得动态PPP算法损失了先验位置信息的约束条件.针对该问题,提出一种顾及实时位置预测信息的动态精密单点定位算法,通过预测残差信息确定各坐标分量的自适应因子,并分析该方法的定位精度以及与采样间隔的相关性;最后利用位移平台开展形变模拟实验.数值算例结果显示,该方法能有效改善高频动态数据处理的精度,对无基准站支持下的缓变型形变监测具有一定的应用价值.

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