最小二乘拟合的多基准站实时差分改正法  

Multiple base station’s real-time differential correction method based on least squares fitting

作　　者：武致宇 张献州 黎冶 李京强 WU Zhiyu;ZHANG Xianzhou;LI Ye;LI Jingqiang(College of Earth Sciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 610031,China;National and Local Joint Engineering Laboratory of High-speed Railway Operational Security Space Information Technology,Chengdu 610031,China)

机构地区：[1]西南交通大学地球科学与环境工程学院,成都610031 [2]高速铁路运营安全空间信息技术国家地方联合工程实验室,成都610031

出　　处：《测绘科学》2019年第9期29-34,共6页Science of Surveying and Mapping

基　　金：成都市科技项目(VQ21SS1135Y17004);横向技术服务项目(LR01HX1135Y17134)

摘　　要：针对测量机器人极坐标自动化监测中观测环境因素对监测结果的影响问题,为简化系统设备配置,提高监测的实时性,多基准站差分改正法被广泛运用于测量机器人自动化监测中以削弱误差影响,但目前的差分改正系数计算方法改正效果并不理想。该文为对差分改正法进行改进,确保实现自动化监测系统实时差分改正的成果精度,该文在对常用的几种差分改正系数计算方法特点进行研究的基础上,提出了一种基于最小二乘拟合的实时差分改正法,该方法计算简便且充分考虑了测站与监测点间空间位置关系对差分改正效果的影响。通过实测数据表明,该方法可较为真实地反映多基准站与监测点间的共性误差,有效提高测量机器人极坐标自动化监测系统处理后的成果精度,具有一定的推广应用价值。The effect of observation environmental factors on monitoring results in robotic polar coordinates measurement automation monitoring is important.Multiple reference station differential correction method is widely used in robotic automatic monitoring to weaken the system error and simplify the system equipment configuration.Existing commonly algorithm is not good enough.In order to improve the method and ensure the quality of automatic monitoring system,this paper proposes a method based on least-squares fitting.This method is easy to calculate and fully considers the influence of the spatial position relationship between the station and the monitoring point.Result shows that this method can reflect the commonality error between multiple reference stations and monitoring points more realistically,effectively improve the accuracy of the measurement robot polar coordinate automation monitoring system.

关 键 词：测量机器人极坐标法 最小二乘拟合 多基准差分改正 变形监测 

分 类 号：P227[天文地球—大地测量学与测量工程]