GNSS-MR用于雪深监测研究
[Abstract]:The environment around the GNSS station will have a multipath effect on its observation value. How to eliminate or weaken the multipath effect has been concerned by many scholars. On the contrary, with the development of the research and application of global satellite navigation system, the research on retrieving the environmental parameters around the station based on the signal to noise ratio (SNR) information based on multipath effect, represented by GNSS-MR technology, has become a new research hotspot. GNSS has made its mark in the field of remote sensing of the earth's surface. Based on the research of domestic and foreign scholars, this paper applies GNSS-MR technology to snow depth measurement, and combines the original observation data of American plate monitoring network and SNOTEL snow depth measurement data. The feasibility and accuracy of GNSS-MR for snow depth measurement are studied and analyzed. The main contents and results of this paper are as follows: 1. The characteristics of multipath effect and signal-to-noise ratio are summarized and the relationship between multipath effect and signal-to-noise ratio is discussed. The low altitude signal-to-noise ratio (SNR) data are greatly affected by multipath effect. The separation of direct and multipath reflected signals can be realized by polynomial fitting. Then using the signal-to-noise ratio (SNR) information of multipath influence to realize the inversion of surface environmental parameters, the basic principle and calculation flow of GNSS-MR technology are expounded. This paper discusses the range of snow depth detection and the track of signal reflection point. GNSS-MR snow depth detection range is about 1000m ~ (2) m ~ (2) GNSS-MR signal's reflection point trajectory. On the one hand, it can realize the selection of stars for GNSS-MR snow depth monitoring. On the one hand, the spatial distribution information of snow cover. 3 can be obtained, which proves that the variation frequency of SNR residuals is negatively related to the snowfall thickness. The feasibility of the GPS-MR snow depth monitoring algorithm is verified from three aspects of single satellite, multiple satellites and long time series. The accuracy of the algorithm can reach 0.1 m.4. the factors influencing the accuracy of GPS-MR snow depth measurement technology are analyzed. It is verified that setting the range of height angle reasonably, the SNR data with higher receiving power and the data with high sampling will all make beneficial contributions to the inversion results, and the inversion accuracy is relatively high. The inversion results are also more stable. 5. The new changes of Rinex3.X format are introduced. The GNSS-MR snow depth measurement data processing system is designed by using MATLAB language. The correctness of the system is verified by combining the measured data, and the corresponding chart document files are output according to the data processing requirements. At present, the multi-frequency and multi-mode satellite navigation system is developing rapidly, and the research of GNSS tracking stations (such as IGSS-PBO, land state network, etc.) all over the world has a unique resource and development space. With the development of research and technology, GNSS-MR, a new remote sensing tool, is expected to be used in real-time surface environment monitoring (snow, soil moisture, sea level, etc.).
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:P228.4;P407
【参考文献】
相关期刊论文 前10条
1 万玮;陈秀万;彭学峰;白伟华;夏俊明;梁宏;张学民;熊攀;杨婷;曹云昌;尹聪;赵利民;洪阳;;GNSS遥感研究与应用进展和展望[J];遥感学报;2016年05期
2 张双成;戴凯阳;刘凯;侯晓伟;赵迎辉;;GPS-MR技术用于降雪厚度监测研究[J];地球物理学进展;2016年04期
3 李源;钱向阳;李绍雄;;北斗卫星导航系统的发展现状与前景[J];通讯世界;2016年14期
4 戴凯阳;张双成;李振宇;赵迎辉;南阳;;利用GPS的SNR观测值进行雪深监测研究[J];大地测量与地球动力学;2016年06期
5 戴凯阳;张双成;张勤;南阳;赵迎辉;;GPS信噪比用于雪深监测研究[J];测绘科学;2015年12期
6 敖敏思;朱建军;胡友健;曾云;刘亚东;;利用SNR观测值进行GPS土壤湿度监测[J];武汉大学学报(信息科学版);2015年01期
7 杨远程;郝兴华;彭碧波;李军;肖飞;;基于多路径效应的植被覆盖研究[J];测绘地理信息;2014年02期
8 冯胜涛;刘志广;占伟;朱爽;宋`u军;;RINEX观测数据文件格式及其应用[J];华北地震科学;2014年01期
9 罗伏军;李程;岳国栋;;GPS数据质量检查软件的可视化开发[J];测绘与空间地理信息;2014年02期
10 杨元喜;李金龙;王爱兵;徐君毅;何海波;郭海荣;申俊飞;戴弦;;北斗区域卫星导航系统基本导航定位性能初步评估[J];中国科学:地球科学;2014年01期
相关博士学位论文 前1条
1 叶险峰;基于GNSS信噪比数据的测站环境误差处理方法及其应用研究[D];中国地质大学;2016年
,本文编号:2167446
本文链接:https://www.wllwen.com/kejilunwen/dizhicehuilunwen/2167446.html