Estimation of BDS DCB Combining GIM and Different Zero-mean Constraints

  • YAO Yibin ,
  • LIU Lei ,
  • KONG Jian ,
  • FENG Xinying
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  • 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079, China;
    3. Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China;
    4. Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China

Received date: 2016-07-29

  Revised date: 2016-11-16

  Online published: 2017-03-07

Supported by

The National Key Research and Development Program of China (No.2016YFB0501803),The National Natural Science Foundation of China (No.41574028),Natural Science Foundation for Distinguished Young Scholars of Hubei Province of China (No.2015CFA036)

Abstract

As the limited number of the BeiDou Navigation Satellite System (BDS) satellites and tracking stations currently, it's difficult to attain daily DCBs solution with precisely high accuracy based on BeiDou single system. In order to overcome the weakness above, two different zero-mean constraints for BDS satellites, called constraint one and constraint two, respectively, are used to estimate DCBs of BDS based on BeiDou observations from the multi-GNSS experiment (MGEX) network and global ionosphere maps (GIM) from the Center for Orbit Determination in Europe (CODE). The results show that the systematic difference of the overall trend under two different constraints is consistent, and the systematic difference of DCBC2I-C7I and DCBC2I-C6I is -3.3 ns and 1.2 ns, respectively. The systematic difference between BDS satellite DCBs and receiver DCBs has the same absolute value, but opposite signs instead. Compared to constraint one, The DCBs estimation of IGSO/MEO satellites under constraint two are more stable (the improvement of satellites DCBC2I-C7I and DCBC2I-C6I STD are up to 21%, 13%, respectively), the stability of IGSO and MEO satellites (STDs are within 0.1 ns, 0.2 ns, respectively) is better than that of GEO satellites (STDs are 0.15~0.32 ns). DCB estimation of constraint one is not only consistent with the CAS/DLR products (Bias:-0.4~0.2 ns), but also takes into account the stability of BDS satellites DCB. Under the two different constraints, there is no obvious change in BDS receiver DCBs, meaning that the selection of constraints has no obvious influence on the stability of BDS receivers DCBs. The overall stability of BDS receiver DCBs is better than 1 ns. Due to the accuracy discrepancy of GIM in different latitudes, the stability of BDS receiver DCBs in the middle-high latitude (STDs are within 0.4 ns) is better than that in low latitude region (STDs are 0.8~1 ns).

Cite this article

YAO Yibin , LIU Lei , KONG Jian , FENG Xinying . Estimation of BDS DCB Combining GIM and Different Zero-mean Constraints[J]. Acta Geodaetica et Cartographica Sinica, 2017 , 46(2) : 135 -143 . DOI: 10.11947/j.AGCS.2017.20160375

References

[1] MONTENBRUCK O, HAUSCHILD A, STEIGENBERGER P. Differential Code Bias Estimation Using Multi-GNSS Observations and Global Ionosphere Maps[J]. Navigation, 2014, 61(3):191-201.
[2] WANG Ningbo, YUAN Yunbin, LI Zishen, et al. Determination of Differential Code Biases with Multi-GNSS Observations[J]. Journal of Geodesy, 2016, 90(3):209-228.
[3] JIN S G, JIN R, LI D. Assessment of BeiDou Differential Code Bias Variations from Multi-GNSS Network Observations[J]. Annales Geophysicae, 2016, 34(2):259-269.
[4] China Satellite Navigation Office. BeiDou Navigation Satellite System Signal in Space Interface Control Document:Open Service Signal (Version 2.0)[Z]. Beijing, China:China Satellite Navigation Office, 2013.
[5] WILSON B D, YINGER C H, FEESS W A, et al. New and Improved:The Broadcast Interfrequency Biases[J]. GPS World, 1999, 10(9):56-66.
[6] 章红平, 韩文慧, 黄玲, 等. 地基GNSS全球电离层延迟建模[J]. 武汉大学学报(信息科学版), 2012, 37(10):1186-1189. ZHANG Hongping, HAN Wenhui, HUANG Ling, et al. Modeling Global Ionospheric Delay with IGS Ground-Based GNSS Observations[J]. Geomatics and Information Science of Wuhan University, 2012, 37(10):1186-1189.
[7] 李子申. GNSS/Compass电离层时延修正及TEC监测理论与方法研究[D]. 北京:中国科学院大学, 2012. LI Zishen. Study on the Mitigation of Ionospheric Delay and the Monitoring of Global Ionospheric TEC Based on GNSS/Compass[D]. Beijing:University of Chinese Academy of Science, 2012.
[8] SARDÓN E, ZARRAOA N. Estimation of Total Electron Content Using GPS Data:How Stable are the Differential Satellite and Receiver Instrumental Biases?[J]. Radio Science, 1997, 32(5):1899-1910.
[9] 常青, 张东和, 萧佐, 等. GPS系统硬件延迟估计方法及其在TEC计算中的应用[J]. 地球物理学报, 2001, 44(5):596-601. CHANG Qing, ZHANG Donghe, XIAO Zuo, et al. A Method for Estimating GPS Instrumental Biases and its Application in TEC Calculation[J]. Chinese Journal of Geophysics, 2001, 44(5):596-601.
[10] HERNÁNDEZ-PAJARES M, JUAN J M, SANZ J, et al. The Ionosphere:Effects, GPS Modeling and the Benefits for Space Geodetic Techniques[J]. Journal of Geodesy, 2011, 85(12):887-907.
[11] 王宁波, 袁运斌, 张宝成, 等. GPS民用广播星历中ISC参数精度分析及其对导航定位的影响[J]. 测绘学报, 2016, 45(8):919-928. DOI:10.11947/j.AGCS.2016.20150554. WANG Ningbo, YUAN Yunbin, ZHANG Baocheng, et al. Accuracy Evaluation of GPS Broadcast Inter-Signal Correction (ISC) Parameters and Their Impacts on GPS Standard Positioning[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(8):919-928. DOI:10.11947/j.AGCS.2016.20150554.
[12] GUO Fei, ZHANG Xiaohong, WANG Jinling. Timing Group Delay and Differential Code Bias Corrections for BeiDou Positioning[J]. Journal of Geodesy, 2015, 89(5):427-445.
[13] SARDÓN E, RIUS A, ZARRAOA N. Estimation of the Transmitter and Receiver Differential Biases and the Ionospheric Total Electron Content from Global Positioning System Observations[J]. Radio Science, 1994, 29(3):577-586.
[14] COCO D S, COKER C, DAHLKE S R, et al. Variability of GPS Satellite Differential Group Delay Biases[J]. IEEE Transactions on Aerospace and Electronic systems, 1991, 27(6):931-938.
[15] MANNUCCI A J, WILSON B D, YUAN D N, et al. A Global Mapping Technique for GPS-Derived Ionospheric Total Electron Content Measurements[J]. Radio Science, 1998, 33(3):565-582.
[16] MA G, MARUYAMA T. Derivation of TEC and Estimation of Instrumental Biases from GEONET in Japan[J]. Annales Geophysicae, 2003, 21(10):2083-2093.
[17] JIN Rui, JIN Shuanggen, FENG Guiping. M_DCB:Matlab Code for Estimating GNSS Satellite and Receiver Differential Code Biases[J]. GPS Solutions, 2012, 16(4):541-548.
[18] LI Zishen, YUAN Yunbin, LI Hui, et al. Two-step Method for the Determination of the Differential Code Biases of COMPASS Satellites[J]. Journal of Geodesy, 2012, 86(11):1059-1076.
[19] SCHAER S. Mapping and Predicting the Earth's Ionosphere Using the Global Positioning System[D]. Bern, Swiss:The University of Bern, 1999.
[20] XUE Junchen, SONG Shuli, ZHU Wenyao. Estimation of Differential Code Biases for Beidou Navigation System Using Multi-GNSS Observations:How Stable are the Differential Satellite and Receiver Code Biases?[J]. Journal of Geodesy, 2016, 90(4):309-321.
[21] JIAO Wenhai, GENG Changjiang, MA Yinhu, et al. A Method to Estimate DCB of COMPASS satellites Based on Global Ionosphere Map[M]//SUN Jiadong, LIU Jingnan, YANG Yuanxi, et al. China Satellite Navigation Conference (CSNC) 2012 Proceedings. Berlin Heidelberg:Springer, 2012:347-353.
[22] 薛军琛, 宋淑丽, 朱文耀. 基于BDS/GPS双系统的全球电离层建模[J]. 中国科学:物理学力学天文学, 2015, 45(7):079505. XUE Junchen, SONG Shuli, ZHU Wenyao. Global Ionosphere Model Based on BDS/GPS Dual-system Observations[J]. Scientia Sinica:Physica, Mechanica & Astronomica, 2015, 47(7):079505.
[23] MONTENBRUCK O, HAUSCHILD A, STEIGENBERGER P, et al. A COMPASS for Asia:First Experience with the BeiDou-2 Regional Navigation System[R]. Notes, 2010.
[24] WILSON B D, MANNUCCI A J. Instrumental Biases in Ionospheric Measurements Derived from GPS Data[C]//Proceedings of the 6th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GPS 1993). Salt Lake City, UT:Salt Palace Convention Center, 1993:1343-1351.
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