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Analysis on Characteristics of Delay Errors Under Ionospheric Anomaly in China Area

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China Satellite Navigation Conference (CSNC) 2018 Proceedings (CSNC 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 497))

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Abstract

Ionospheric anomaly in south of China will degrade the performance of SBAS grid models severely. Characteristics of ionospheric delay errors are analyzed with observations from the mid and low latitudes area in China for various solar activities and ionospheric conditions. Results show the error distribution is symmetric, unimodal, and overbounded by a biased normal error distribution. The biased distributions would reduce the overbounding capability of the estimated bounds. Ionospheric anomaly contribute to the complicated spatial and temporal variations of the delay errors as storms, and even is the main influencing factors under certain condition.

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References

  1. RTCA Special Committee 159 (2001) Minimum operational performance standards for airborne equipment using global positioning system/wide area augmentation system, RTCA/DO-229C, Nov 2001

    Google Scholar 

  2. Timothy RS, Authur LR (2002) Application of Gaussian overbounding for the WAAS fault free error analysis. In: Proceedings ION GPS 2002, Institute of Navigation, Portland, OR, pp 766–772

    Google Scholar 

  3. Blanch J (2003) Using Kriging to bound satellite ranging errors due to the ionosphere. PhD thesis, Department of Aeronautics and Astronautics, Stanford University

    Google Scholar 

  4. Bruce D (2000) Defining pseudorange integrity—overbounding. In: Proceedings ION GPS 2000, Institute of Navigation, Salt Lake City, UT, pp 1916–1924

    Google Scholar 

  5. Timothy RS (2003) WAAS error bounding during ionospheric storms. In: Proceedings ION NTM 2003, Institute of Navigation, Anaheim, CA, pp 175–182

    Google Scholar 

  6. Liu D, Chen L, Zhen WM (2013) Ionospheric spatial correlation analysis for China area. In: Proceedings CSNC 2013, Wuhan, China, 15–17 May 2013

    Google Scholar 

  7. Liu D, Yu X, Chen L, Zhen WM (2017) Analysis on ionospheric delay variogram realization in China area. In: Proceedings CSNC 2017, Shanghai, China, 15–17 May 2017

    Google Scholar 

  8. Sparks L, Blanch J, Pandya N (2011a) Estimating ionospheric delay using kriging: 1. Methodology. Radio Sci 46:RS0D21. https://doi.org/10.1029/2011rs004667

    Article  Google Scholar 

  9. Sparks L, Blanch J, Pandya N (2011b) Estimating ionospheric delay using kriging: 2. Impact on satellite-based augmentation system availability. Radio Sci 46:RS0D22. https://doi.org/10.1029/2011rs004781

    Article  Google Scholar 

  10. Pandya N, Sheng F, Castaneda O et al (2012) Using Kriging to optimize WAAS performance over the entire solar cycle. In: Proceedings ION GNSS 2012, Institute of Navigation, Portland, OR, pp 1310–1333

    Google Scholar 

  11. Sparks L, Blanch J, Pandya N (2013) Kriging as a means of improving WAAS availability. In: Proceedings ION GNSS 2013, Institute of Navigation, Portland, OR, pp 2013–2020

    Google Scholar 

  12. Sparks L, Komjathy A, Manucci A (2005) Extreme ionospheric storms and their impact on WAAS. In: Proceedings of the ionospheric effect symposium 2005, Alexandria, VA, May 2005

    Google Scholar 

  13. Liu D, Feng J, Chen L, Zhen WM (2017) A study on construction of ionospheric spatial threat model over China area. In: Proceedings CSNC 2017, Shanghai, China, 15–17 May 2017

    Google Scholar 

  14. Walter T, Hansen A, Blanch J et al (2000) Robust Detection of Ionospheric Irregularities. In: Proceedings ION GPS 2000, Institute of Navigation, Salt Lake City, Utah, pp 209–218

    Google Scholar 

  15. Altshuler ES et al (2001) The WAAS ionospheric spatial threat model. In: Proceedings ION GPS 2000, Institute of Navigation, Salt Lake City, UT, pp 2463–2467

    Google Scholar 

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Acknowledgements

The author acknowledges the GNSS data made available from the CMONCO.

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Correspondence to Dun Liu .

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Liu, D., Chen, L., Yu, X., Zhen, W. (2018). Analysis on Characteristics of Delay Errors Under Ionospheric Anomaly in China Area. In: Sun, J., Yang, C., Guo, S. (eds) China Satellite Navigation Conference (CSNC) 2018 Proceedings. CSNC 2018. Lecture Notes in Electrical Engineering, vol 497. Springer, Singapore. https://doi.org/10.1007/978-981-13-0005-9_53

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  • DOI: https://doi.org/10.1007/978-981-13-0005-9_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0004-2

  • Online ISBN: 978-981-13-0005-9

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