信号频率及观测环境对GPS-MR雪深反演的影响分析  

Analysis of Influence of Signal Frequency and Observation Environment on GPS-MR Snow Depth Inversion

作　　者：张海超[1] 罗晨曦 王家宝 陈可可 ZHANG Haichao;LUO Chenxi;WANG Jiabao;CHEN Keke(China Railway Southwest Research Institute Co.,Ltd.,Chengdu 610500,China;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;Chengdu Survey and Mapping Research Institute,Chengdu 610081,China)

机构地区：[1]中铁西南科学研究院有限公司,四川成都610500 [2]西南交通大学地球科学与环境工程学院,四川成都611756 [3]成都市勘察测绘研究院,四川成都610081

出　　处：《测绘地理信息》2022年第3期28-33,共6页Journal of Geomatics

基　　金：四川省科技计划重点研发项目(2018GZ0051)。

摘　　要：针对美国地区6个GPS观测站5年(2012—2016年)的信噪比(signal to noise ratio,SNR)数据,利用GPS多径反射(GPS-multipath reflectometry,GPS-MR)方法详细分析了信号频率以及测站周围环境对雪深反演结果的影响,并与实测结果进行对比,讨论了该方法探测雪深的精度。结果表明,不同频率的SNR数据对反演精度影响不大,但会造成反演结果与真值之间存在一个系统偏差(频率L1的系统偏差约为0.1 m,频率L2C的系统偏差约为0.2 m)。地形起伏和其他物体遮挡均会影响反演精度,遮挡物较大甚至会造成反演失败。受积雪融化的影响,反演结果下降时间会较实测结果下降时间有所提前,致使两者之间的相关性降低。We use the signal-to-noise ratio(SNR)data of six GPS stations in the United States from 2012 to 2016 to analyze the influence of signal frequencies and surroundings of the stations on snow depth inversion in detail by GPS-multipath reflectometry(GPS-MR)method. Then,we compare it with the measured result and discuss the accuracy of this method for snow depth inversion. The results show that the influence of different signal frequencies on inversion accuracy is not evident,but there is a system error between the inversion values and measured values(the system deviations of L1 and L2C are0. 1 m and 0. 2 m,respectively). Topographic relief and occluded objects can both affect the inversion accuracy,and large occluded objects may even cause inversion failure. Influenced by snow melt,the descending time of the inversion values will be earlier than that of the measured values,which reduces the correlation between them.

关 键 词：GNSS反射测量 GPS-多径反射(GPS-multipath reflectometry GPS-MR) 信噪比(signal-to-noise ratio SNR) 积雪深度 

分 类 号：P228[天文地球—大地测量学与测量工程] P426[天文地球—测绘科学与技术]