Data generation method of constellation heterogeneous base station virtual reference station

doi:10.13474/j.cnki.11-2246.2020.0046

Abstract

Abstract: Traditional virtual reference station service is always exist constellation blind areas as constellation compatibility difference among reference stations. In order to overcome this disadvantage, a method is proposed to calculate virtual observation on the basis of error source analysis. Firstly, network construction is built through each GNSS constellation. Secondly, the master reference station of each GNSS constellation is searched. Thirdly, the master reference stations' receiver clock error are calculated and repaired. Finally, observations of multiple master reference stations are used to calculate observations of one virtual reference station. It effectively avoids the influence of single master reference station's constellation compatibility, and provides more satellites' differential data for rover station. In view of the incompatibility of some reference stations with BeiDou satellites, five reference stations are chosen to construct the observational network, and the middle station's BeiDou data is closed. Three test schemes are developed and rover station's positioning performance is tested in open areas and corner areas respectively. The experiment results confirm that virtual observation quality can be improved by combining more reference stations. Rover station can get better positioning quality, especially the usability and positioning quality can be significantly improved in the corner areas. The research has practical applicable value for combining existing reference stations and improving constellation compatibility of network RTK service.

Key words: reference stations using global navigation satellite system, constellation compatibility difference, master reference station, virtual observation, network RTK service

CLC Number:

P228

ZHANG Xi, CHEN Xianchun, BAO Hai. Data generation method of constellation heterogeneous base station virtual reference station[J]. Bulletin of Surveying and Mapping, 2020, 0(2): 66-71.

References

[1] 中华人民共和国自然资源部. 自然资源部将启动"十四五"基础测绘规划编制[EB/OL]. 2019-02-27[2019-05-05]. http://www.mnr.gov.cn/dt/ywbb/201902/t20190227_2396788.html.
[2] 周乐韬,黄丁发,李成钢,等.基于球面Delaunay三角网的GPS网络构造算法[J].西南交通大学学报, 2007,42(3):380-383.
[3] WUBBENA G, BAGGE A, SCHMITZ M. RTK networks based on Geo++ GNSMART-concepts, implementation, results[C]//Proceedings of ION GPS 2001. Salt Lake:[s.n.], 2001:368-378.
[4] EULER H J, KEENAN C R, ZEBHAUSER B E, et al. Study of a simplified approach in utilizing information from permanent reference station arrays[C]//Proceedings of ION GPS 2001. Salt Lake:[s.n.], 2001:11-14.
[5] WANNINGER L. The performance of virtual reference stations in active geodetic GPS-networks under solar maximum conditions[C]//Proceedings of ION GPS 1999. Budapest:[s.n.], 1999:1419-1427.
[6] 刘经南,叶世榕.GPS非差相位精密单点定位技术探讨[J].武汉大学学报(信息科学版), 2002, 27(3):234-240.
[7] 张小红,李星星,李盼.GNSS精密单点定位技术及应用进展[J].测绘学报,2017, 46(10):201-209.
[8] 杨元喜,许扬胤,李金龙,等. 北斗三号系统进展及性能预测——试验验证数据分析[J]. 中国科学(地球科学), 2018, 48(5):68-78.
[9] 袁运斌, 张宝成, 李敏. 多频多模接收机差分码偏差的精密估计与特性分析[J]. 武汉大学学报(信息科学版), 2018, 43(12):2106-2111.
[10] 刘万科, 卢立果, 单弘煜. 一种快速解算高维模糊度的LLL分块处理算法[J]. 测绘学报, 2016, 45(2):147-156.
[11] LI T, MELACHROINOS S. An enhanced cycle slip repair algorithm for real-time multi-GNSS, multi-frequency data processing[J]. GPS Solutions, 2019, 23(1):1-11.
[12] 王胜利. 多星座融合GNSS定位地面增强关键技术研究[D]. 南京:东南大学, 2013.
[13] VOLLATH U, DEKING A, LANDAU H, et al. Longrange RTK positioning using virtual reference station[C]//Proceedings of ION GPS 2000. Salt Lake:[s.n.], 2000:470-474.
[14] DAI L W, HAN S W, WANG J L, el al. A study on GPS/GLONASS multiple reference station techniques for precise real-time carrier phase-based positioning[C]//Proceedings of ION GPS 2001. Salt Lake:[s.n.], 2001:392-403.
[15] 吴北平. GPS网络RTK定位原理与数学模型研究[D]. 武汉:中国地质大学, 2003.
[16] 李成钢. 网络GPS/VRS系统高精度差分改正信息生成与发布研究[D]. 成都:西南交通大学, 2007.
[17] 周乐韬. 连续运行参考站网络实时动态定位理论、算法和系统实现[D]. 成都:西南交通大学, 2007.