区域参考站网支撑的PPP和RTK一体化服务及其性能

doi:10.11947/j.AGCS.2022.20210179

测绘学报 ›› 2022, Vol. 51 ›› Issue (9): 1870-1880.doi: 10.11947/j.AGCS.2022.20210179

区域参考站网支撑的PPP和RTK一体化服务及其性能

舒宝¹, 刘晖², 王利^1,3,4, 张勤^1,3, 黄观文¹

1. 长安大学地质工程与测绘学院, 陕西西安 710054;
2. 武汉大学卫星导航定位技术研究中心, 湖北武汉 430079;
3. 地理信息工程国家重点试验室, 陕西西安 710054;
4. 西部矿产资源与地质工程教育部重点试验室, 陕西西安 710054

收稿日期:2021-04-07 修回日期:2022-05-18 发布日期:2022-09-29
通讯作者: 王利 E-mail:wangli@chd.edu.cn
作者简介:舒宝(1990—),男,博士,讲师,研究方向为GNSS高精度卫星导航定位算法及应用。E-mail:baos613@163.com
基金资助:
国家自然科学基金（42127802；42004024；42174006）；国家重点研发计划（2021YFC3000503）；中国博士后科学基金（2020M673321）；陕西省自然科学基础研究计划（2021JQ-230）；中央高校基本科研业务费专项（300102261305）

PPP and RTK integrated service method and performance based on regional reference station network

SHU Bao¹, LIU Hui², WANG Li^1,3,4, ZHANG Qin^1,3, HUANG Guanwen¹

1. College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China;
2. GNSS Research Center, Wuhan University, Wuhan 430079, China;
3. State Key Laboratory of Geographic Information Engineering, Xi'an 710054, China;
4. Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Xi'an 710054, China

Received:2021-04-07 Revised:2022-05-18 Published:2022-09-29
Supported by:
The National Natural Science Foundation of China (Nos. 42127802; 42004024; 42174006); The National Key Research and Development Program of China (No. 2021YFC3000503); China Postdoctoral Science Foundation (No. 2020M673321); The Natural Science Basic Research Program of Shaanxi (No. 2021JQ-230); The Fundamental Research Funds for the Central Universities, CHD (No. 300102261305)

摘要/Abstract

摘要： GNSS区域参考站网可为大范围PPP和RTK终端用户提供快速精密定位服务，然而不同技术体制下的误差影响因素及服务模式不同，服务端数据处理方法及终端定位性能也会有所差异。本文在实现参考站非差模糊度固定的基础上，给出了基于区域参考站网的PPP及RTK一体化服务方法，并对两种技术体制的终端定位效果进行了全面评估。采用西北某省站间距约100 km的CORS站网数据进行试验分析，结果表明，采用区域参考站网解算的整数钟/UPD产品进行PPP固定解动态定位时精度较高，水平方向RMS可达0.5 cm，区域大气改正数可以显著提升定位终端的初始化速度，对于PPP和RTK，60.0%和87.7%的时段单历元即可得到固定解。需要注意的是，基于VRS模式的RTK定位等价于大气强约束，在大气建模精度较差时定位精度会显著下降，而采用虚拟大气约束的PPP-RTK定位精度几乎不受影响。

关键词: GNSS, 实时精密定位, 区域参考站网, PPP-RTK, 网络RTK

Abstract: The GNSS regional reference station network can provide fast and precise positioning services for PPP and RTK users over the wide range. However, for different technical systems, the error influencing factors and service modes are different, the data processing methods at the server and the performance at positioning terminal will also vary. After fixing non-difference ambiguity of the reference station, this paper presents an integrated service method of PPP and RTK based on the regional reference station network, and comprehensively evaluates the terminal positioning performance for these two technologies. Experimental analysis are conducted by using CORS station network data with a station spacing of about 100km in a northwestern province. Results shows the positioning accuracy of PPP fixed solution using the integer clock/UPD product solved by the regional reference station network are very high, and the positioning error in horizontal direction can be less than 0.5 cm. The regional modeled atmospheric can significantly increase the initialization speed of the positioning terminal. For PPP and RTK, a fixed solution can be obtained in a single epoch of 60.0% and 87.7%. It should be noted that the RTK positioning based on the VRS mode is equivalent to strong atmospheric constraints. When the accuracy of modeling atmospheric delay is poor, the positioning accuracy will be significantly reduced, while the PPP-RTK positioning accuracy using virtual atmospheric constraints is almost unaffected.

Key words: GNSS, real-time precise positioning, regional reference station network, PPP-RTK, network RTK

中图分类号:

P228

舒宝, 刘晖, 王利, 张勤, 黄观文. 区域参考站网支撑的PPP和RTK一体化服务及其性能[J]. 测绘学报, 2022, 51(9): 1870-1880.

SHU Bao, LIU Hui, WANG Li, ZHANG Qin, HUANG Guanwen. PPP and RTK integrated service method and performance based on regional reference station network[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(9): 1870-1880.

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区域参考站网支撑的PPP和RTK一体化服务及其性能

PPP and RTK integrated service method and performance based on regional reference station network

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