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An improved ionosphere interpolation algorithm for network RTK in low-latitude regions

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Abstract

A traditional interpolation algorithm with the linear interpolation method (LIM) using a fixed number of reference stations is widely used in network RTK to obtain the ionospheric delays for the users. In low-latitude regions, where the ionosphere is relatively active, however, large interpolation errors exist, especially for satellites at low elevation angles. Considering the characteristics of “coinciding ionospheric pierce points (CIPPs)” with a similar nature of ionospheric delays, an improved interpolation algorithm is proposed. In this algorithm, all stations with CIPPs are used to establish the interpolation model; thus, more precise interpolation model is achieved. To validate the performance of the proposed algorithm, data from some reference stations in Guangdong Province of China were used, and the results are compared with those with the traditional interpolation algorithm. Numerical analysis shows that the interpolation accuracy of the proposed algorithm increases by 10–30% compared with the traditional one. Since the number of reference stations is flexible, the proposed algorithm can also balance the model accuracy with the computation burdens. In addition, the proposed algorithm is less affected by the selection of master reference station. In terms of network RTK on-the-fly positioning, the time-to-first-fix is reduced when replacing the traditional interpolation algorithm with the proposed one.

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References

  • Alfonsi L, Spogli L, Tong JR, De Franceschi G, Romano V, Bourdillon A, Le Huy M, Mitchell CN (2011) GPS scintillation and TEC gradients at equatorial latitudes in April 2006. Adv Space Res 47(10):1750–1757. https://doi.org/10.1016/j.asr.2010.04.020

    Article  Google Scholar 

  • Al-Shaery AM, Lim S, Rizos C (2011) Investigation of different interpolation models used in Network-RTK for the virtual reference station technique. J Glob Position Syst 10(2):136–148. https://doi.org/10.5081/jgps.10.2.136

    Article  Google Scholar 

  • Chen X, Landau H, Vollath U (2003) New tools for network RTK integrity monitoring. Proc. ION GPS/GNSS 2003, Institute of Navigation, Portland, Oregon, USA, September 9–12, 1355–1360

  • Chen W, Gao S, Hu C, Chen Y, Ding X (2008) Effects of ionospheric disturbances on GPS observation in low latitude area. GPS Solut 12(1):33–41. https://doi.org/10.1007/s10291-007-0062-z

    Article  Google Scholar 

  • Dai L, Han S, Wang J, Rizos C (2003) Comparison of interpolation algorithms in network-based GPS techniques. Navigation 50(4):277–293

    Article  Google Scholar 

  • Fotopoulos G, Cannon ME (2001) An overview of multi-reference station methods for cm-level positioning. GPS Solut 4(3):1–10. https://doi.org/10.1007/PL00012849

    Article  Google Scholar 

  • Gao Y, Li Z, McLellan JF (1997) Carrier phase based regional area differential GPS for decimeter-level positioning and navigation. Proc. ION GPS 1997, Institute of Navigation, Kansas City, Missouri, USA, September 16–19, 1305–1313

  • Han S, Rizos C (1996) GPS network design and error mitigation for Real-Time Continuous Array Monitoring Systems. Proc. ION GPS 1996, Institute of Navigation, Kansas City, Missouri, USA, September 17–20, 1827–1836

  • Hu G, Abbey DA, Castleden N, Featherstone WE, Earls C, Ovstedal O, Weihing D (2005) An approach for instantaneous ambiguity resolution for medium- to long-range multiple reference station networks. GPS Solut 9(1):1–11. https://doi.org/10.1007/s10291-004-0120-8

    Article  Google Scholar 

  • Kim D, Song J, Han D, Yu S, Kee C, Seo S, Park J (2017) Modified Kriging based double-difference tropospheric correction interpolation method for Network RTK user. Proc. ION GNSS + 2017, Institute of Navigation, Portland, Oregon, USA, September 25–29, 4090–4102

  • Komjathy A, Sparks L, Mannucci AJ, Coster A (2005) The ionospheric impact of the October 2003 storm event on Wide Area Augmentation System. GPS Solut 9(1):41–50. https://doi.org/10.1007/s10291-004-0126-2

    Article  Google Scholar 

  • Lejeune S, Wautelet G, Warnant R (2012) Ionospheric effects on relative positioning within a dense GPS network. GPS Solut 16(1):105–116. https://doi.org/10.1007/s10291-011-0212-1

    Article  Google Scholar 

  • Nava B, Radicella SM, Leitinger R, Coïsson P (2007) Use of total electron content data to analyze ionosphere electron density gradients. Adv Space Res 39(8):1292–1297. https://doi.org/10.1016/j.asr.2007.01.041

    Article  Google Scholar 

  • Odijk D (2002) Fast precise GPS positioning in the presence of ionospheric delays. Dissertation, Delft University of Technology

  • Odijk D, van der Marel H, Song I (2000) Precise GPS positioning by applying ionospheric corrections from an active control network. GPS Solut 3(3):49–57. https://doi.org/10.1007/PL00012804

    Article  Google Scholar 

  • Próchniewicz D, Walo J (2012) Quality indicator for ionospheric biases interpolation in the Network RTK. Rep Geodesy 92(1):7–21

    Google Scholar 

  • Saito S, Sunda S, Lee J, Pullen S, Supriadi S, Yoshihara T, Terkildsen M, Lecat F (2017) Ionospheric delay gradient model for GBAS in the Asia–Pacific region. GPS Solut 21(4):1937–1947. https://doi.org/10.1007/s10291-017-0662-1

    Article  Google Scholar 

  • Shariff NS, Musa TA, Othman R, Lee HK (2014) Evaluation of N-RTK interpolation with location-based dependency. Jurnal Teknologi (Sci Eng) 71(4):55–64

    Google Scholar 

  • Song J, Park B, Kee C (2016) Comparative analysis of height-related multiple correction interpolation methods with constraints for Network RTK in mountainous areas. J Navig 69(05):991–1010. https://doi.org/10.1017/S0373463316000011

    Article  Google Scholar 

  • St-Pierre C, Santerre R, Parrot D (1999) Improvement of OTF-kinematic GPS positioning over long distances using ionospheric regional modelling. Geomatica 53(4):395–403

    Google Scholar 

  • Takasu T (2013) RTKLIB ver. 2.4.2: Manual. http://www.rtklib.com/rtklib_document.htm

  • Tang W, Meng X, Shi C, Liu J (2013) Algorithms for sparse network-based RTK GPS positioning and performance assessment. J Navig 66(03):335–348. https://doi.org/10.1017/S0373463313000015

    Article  Google Scholar 

  • Tang W, Jin L, Cui J, Shi C, Zhang Y (2016) GNSS Network RTK regional ionospheric modelling studies and performance analysis. J Navig 69(01):211–224. https://doi.org/10.1017/S0373463315000636

    Article  Google Scholar 

  • Wanninger L (1995) Improved ambiguity resolution by regional differential modelling of the ionosphere. Proc. ION GPS 1995, Institute of Navigation, Palm Springs, California, USA, September 12–15, 55–62

  • Weng D, Ji S, Chen W, Li Z, Xu Y, Ye L (2015) Assessing and mitigating the effects of the ionospheric variability on DGPS. GPS Solut 19(1):107–116. https://doi.org/10.1007/s10291-014-0372-x

    Article  Google Scholar 

  • Wübbena G, Bagge A, Seeber G, Böder V, Hankemeier P (1996) Reducing distance-dependent errors for real-time precise DGPS applications by establishing reference station networks. Proc. ION GPS 1996, Institute of Navigation, Kansas City, Missouri, USA, September 17–20, 1845–1852

  • Zhang M, Liu H, Bai Z, Qian C, Fan C, Zhou P, Shu B (2017) Fast ambiguity resolution for long-range reference station networks with ionospheric model constraint method. GPS Solut 21(2):617–626. https://doi.org/10.1007/s10291-016-0551-z

    Article  Google Scholar 

Download references

Acknowledgements

This work is partially sponsored by National Key Research and Development Program of China (Grant Nos. 2017YFB0503702, 2016YFB0501802), and partially supported by “the Fundamental Research Funds for the Central Universities” (Nos. 2042017kf0043, 2042018gf0001). We are very grateful to Miss Ling Huang at Wuhan University for her valuable comments. We thank the anonymous reviewers for their constructive comments and suggestions.

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Correspondence to Weiming Tang.

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Cui, J., Tang, W., Jin, L. et al. An improved ionosphere interpolation algorithm for network RTK in low-latitude regions. GPS Solut 22, 109 (2018). https://doi.org/10.1007/s10291-018-0778-y

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