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高精度实时位置服务的格网化VRS技术
引用本文:黄丁发,冯威,李剑锋,龚晓颖,栗帅帅.高精度实时位置服务的格网化VRS技术[J].测绘学报,2022,51(8):1717-1724.
作者姓名:黄丁发  冯威  李剑锋  龚晓颖  栗帅帅
作者单位:1. 西南交通大学地球科学与环境工程学院卫星导航研究中心, 四川 成都 610031;2. 成都信息工程大学资源环境学院, 四川 成都 610225
基金项目:国家重点研发计划(2016YFB0501900);中国国家铁路集团有限公司科技研究开发计划重大课题(K2020X017);国家自然科学基金(42171429)
摘    要:为确保基于VRS的网络RTK定位性能,提高VRS的服务质量,本文系统地构建了面向海量并发用户服务的格网化VRS方法,建立了VRS格网的两种划分方法。顾及电离层延迟的空间相关特性,选定中纬度和低纬度两个区域的CORS网络进行试验测试,分析并确定不同区域条件下,格网化VRS的有效服务间距。结果表明:在中纬度地区和低纬度地区,格网VRS有效服务间距限值分别为12 km和7 km。与非格网化VRS(以标准定位服务结果建立)相比,可大幅度降低VRS产生和计算负荷,有效提升服务器对海量用户的服务能力。

关 键 词:虚拟参考站  大气延迟  虚拟格网  格网间距  位置服务  
收稿时间:2021-07-29
修稿时间:2022-06-28

Grid VRS technique of real time high-precision location-based service
HUANG Dingfa,FENG Wei,LI Jianfeng,GONG Xiaoying,LI Shuaishuai.Grid VRS technique of real time high-precision location-based service[J].Acta Geodaetica et Cartographica Sinica,2022,51(8):1717-1724.
Authors:HUANG Dingfa  FENG Wei  LI Jianfeng  GONG Xiaoying  LI Shuaishuai
Institution:1. Center for Satellite Navigation, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China;2. Faculty of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China
Abstract:In order to ensure the positioning performance of virtual reference station (VRS) based network RTK,reduce the loading impact of massive concurrent users on the solution server,and improve the service quality of VRS,this paper systematically proposed a VRS gridding technique for massive concurrent user services,and established two methods for VRS generation,namely the coordinates and triangulated irregular network (TIN) VRS grid.Considering that the key problem of space-related atmospheric delay correction is the influence of ionosphere delay,the experimental tests are conducted in the CORS convergence of middle and low latitudes respectively.The effective service spacing of gridded VRS under different regional conditions is analyzed and determined,the results show that the effective service spacing limits of grid VRS in the middle latitude and low latitudes are 12 and 7 km,respectively.Compared with the non-grid VRS (built with SPS results),the VRS generation and computing load can be greatly reduced,and the server's service capabilities to massive users can be significantly improved.
Keywords:
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