Abstract
The merged GPS navigation files from the International GNSS Service (IGS) data centers, i.e., the Crustal Dynamics Data Information System (CDDIS), the Bundesamt für Kartographie und Geodäsie (BKG), the Scripps Institution of Oceanography (SIO), and the Institut Geographique National (IGN) are occasionally contaminated by anomalies and inconsistent user range accuracy (URA). This contamination impairs the performance assessment of GPS service, especially the system integrity. We remerged these files starting Day of Year (DOY) 1, 2000 using all available navigation data files from IGS stations. To effectively get the upper bound URA, a frequency-dependent pattern recognition method was developed. In addition, a comprehensive comparison between the navigation data remerged by us and those provided by the four IGS data centers was performed. The compared results revealed that TGD and Issue of Data Clock (IODC) were the dominating anomalies in the merged navigation data from CDDIS and SIO for the first several years after 2000, and M0, Ω0, ω, and af0 were the dominant anomalies in the merged data from IGN. In addition to a number of missing records, many records with incorrect PRN (pseudo-random noise number), identifying a GPS satellite, were found in files from the IGS data centers. Although the number of anomalies in the merged files from CDDIS has continued to decrease in recent years, they have not disappeared and would affect system-level assessment and scientific applications to a certain extent. The results also revealed that our remerged files were more complete, clean, compact and consistent, making them more suitable for GPS system performance assessment and related research studies. Moreover, those data are now openly available.
Similar content being viewed by others
References
Beyerle G, Schmidt T, Wickert J, Heise S, Rothacher M, König-Langlo G, Lauritsen KB (2006) Observations and simulations of receiver-induced refractivity biases in GPS radio occultation. J Geophys Res-Atmos 111(D12):1–13
Beyerle G, Ramatschi M, Galas R, Schmidt T, Wickert J, Rothacher M (2009) A data archive of GPS navigation messages. GPS Solut 13(1):35–41
Cohenour C, Van Graas F (2011) GPS orbit and clock error distributions. Navigation 58(1):17–28
Dach R, Hugentobler U, Fridez P, Meindl M (eds) (2007) User manual of the Bernese GPS software version 5.0
Estey LH, Meertens CM (1999) TEQC: The Multi-Purpose Toolkit for GPS/GLONASS Data. GPS Solut 3(1):42–49
Heng L, Gao GXX, Walter T, Enge P (2010) GPS ephemeris error screening and results for 2006–2009. In: Proceedings of ION ITM 2010, Institute of Navigation, San Diego, pp 1014–1022
Heng L, Gao GXX, Walter T, Enge P (2012) GPS signal-in-space integrity performance evolution in the last decade—data mining 400,000,000 navigation messages from a global network of 400 receivers. IEEE T Aerosp Electron Syst 48(4):2932–2946
Jefferson DC, Bar-Sever YE (2000) Accuracy and consistency of broadcast GPS ephemeris data. In: Proceedings ION GPS 2000, Institute of Navigation, Salt Lake City, pp 391–395
Jonkman N, De Jong K (2000) Integrity monitoring of IGEX-98 data—part III: broadcast navigation message validation. GPS Solut 4(2):45–53
Kovach K, Berg J, Lin V (2008) Investigation of upload anomalies affecting IIR satellites in October 2007. In: Proceedings of ION GNSS 2008, Institute of Navigation, Savannah, pp 1679–1687
Liu Y, Zhu Y (2014) GNSS signal in space outliers analysis based on historical navigation data. In: Proceedings, ION ITM 2014, Institute of navigation, San Diego, California, USA, January 27–29, pp 108–114
Milner C, Ochieng W, Schuster W, Porretta M, Curry C (2011) A regional space segment health monitor for local GPS integrity monitoring. J Navig 64(4):657–671
Mistrapau F, Bija B, Cueto-Felgueroso G, Odriozola M, Azaola M, Cezón A, Amarillo-Fernández F (2016) GPS SISRE/URA integrity analysis for ARAIM. In: Proceedings of ION GNSS2016, Portland, pp 1793–1803
Montenbruck O, Steigenberger P, Hauschild A (2015) Broadcast versus precise ephemerides: a multi-GNSS perspective. GPS Solut 19(2):321–333
Montenbruck O, Steigenberger P, Prange L, Deng Z, Zhao Q, Perosanz F, Romero I, Noll C, Stürze A, Weber G et al (2017) The multi-GNSS Experiment (MGEX) of the International GNSS Service (IGS)—achievements, prospects and challenges. Adv Space Res 59(7):1671–1697
Montenbruck O, Steigenberger P, Hauschild A (2018) Multi-GNSS signal-in-space range error assessment—methodology and results. Adv Space Res 61(12):3020–3038
Perea S, Meurer M, Rippl M, Belabbas B, Joerger M (2017) URA/SISA analysis for GPS and Galileo to support ARAIM. Navigation 64(2):237–254
Pullen S, Lee JY, Luo M, Pervan B, Chan FC, Gratton L (2001) Ephemeris protection level equations and monitor algorithms for GBAS. In: Proceedings of ION GPS 2001, Institute of Navigation, Salt Lake City, pp 1738–1749
RTCA-DO-229D (2013) Minimum operational performance standards for global positioning system/satellite-based augmentation system airborne equipment. Change 1, Appendix V, Integrated and highlighted. RTCA, Inc, USA
Sokolovskiy S, Rocken C, Hunt D, Schreiner W, Johnson J, Masters D, Esterhuizen S (2006) GPS profiling of the lower troposphere from space: inversion and demodulation of the open-loop radio occultation signals. Geophys Res Lett 33(14):1–5
US Department of Defense (DoD) (2013) Navstar GPS space segment/navigation user interfaces interface control document, IS-GPS-200H
Walter T, Blanch J (2015) Characterization of GPS clock and ephemeris errors to support ARAIM. In: Proceedings of ION Pacific PNT 2015, Institute of Navigation, Honolulu, pp 920–931
Warren DLM, Raquet JF (2003) Broadcast vs. precise GPS ephemerides: a historical perspective. GPS Solut 7(3):151–156
Acknowledgements
Our deepest gratitude goes to anonymous reviewers for their careful work and valuable suggestions that have helped to improve our paper substantially. This work was jointly supported by the National Natural Science Foundation of China (Grant No. 41474029, 41574015), the Innovation Foundation of the Chinese Academy of Sciences (Grant No. CXJJ-14-M18), the Key Program of the Major Research Plan of the National Natural Science Foundation of China (No. 91638203), the Collaborative Precision Positioning Project funded by the Ministry of Science and Technology of China (No. 2016YFB0501900), and the National R&D Infrastructure and Facility Development Program of China, “Fundamental Science Data Sharing Platform” (DKA2017-12-02-24). The authors would like to acknowledge the IGS data centers of CDDIS, BKG, SIO and IGN for providing access to the GPS navigation data and the International GNSS Monitoring and Assessment Service (iGMAS) data center of National Time Service Center for accommodating iggm data. We also thank Dr. Teng Liu of IGG (Institute of Geodesy and Geophysics) for helping us with the SPP (Standard Point Positioning) experiment.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, H., Jiang, H., Ou, J. et al. Anomaly analysis of 18 years of newly merged GPS ephemeris from four IGS data centers. GPS Solut 22, 124 (2018). https://doi.org/10.1007/s10291-018-0791-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10291-018-0791-1