Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
권호 표지
DOI QR코드

DOI QR Code

Tropospheric Anomaly Detection in Multi-Reference Stations Environment during Localized Atmospheric Conditions-(2) : Analytic Results of Anomaly Detection Algorithm

  • Received : 2016.08.12
  • Accepted : 2016.10.11
  • Published : 2016.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

Localized atmospheric conditions between multi-reference stations can bring the tropospheric delay irregularity that becomes an error terms affecting positioning accuracy in network RTK environment. Imbalanced network error can affect the network solutions and it can corrupt the entire network solution and degrade the correction accuracy. If an anomaly could be detected before the correction message was generated, it is possible to eliminate the anomalous satellite that can cause degradation of the network solution during the tropospheric delay anomaly. An atmospheric grid that consists of four meteorological stations was used to detect an inhomogeneous weather conditions and tropospheric anomaly applied AWSs (automatic weather stations) meteorological data. The threshold of anomaly detection algorithm was determined based on the statistical weather data of AWSs for 5 years in an atmospheric grid. From the analytic results of anomaly detection algorithm it showed that the proposed algorithm can detect an anomalous satellite with an anomaly flag generation caused tropospheric delay anomaly during localized atmospheric conditions between stations. It was shown that the different precipitation condition between stations is the main factor affecting tropospheric anomalies.

Keywords

References

  1. Ahn, Y. W., Kim, D. and Dare, P.(2007), "Positioning Impacts from Imbalanced Atmospheric GPS Network Errors", Proceedings of the 20th International Technical Meeting of the Satellite Division. pp. 2302-2312.
  2. Cho, D. J., Park, S. H., Choi, J. K. and Suh, S. H.(2007), "A Study on Integrity Monitoring Improvement of the DGPS Reference Station", Journal of Navigation and Port Research, Vol. 31, No. 6, pp. 509-514. https://doi.org/10.5394/KINPR.2007.31.6.509
  3. Han, Y., Shin, M. Y., Ko, J. and Cho, D. J.(2014), "An Analysis for Irregularity of Tropospheric Delay due to Local Weather Change Effects on Network RTK", The Transactions of the Korean Institute of Electrical Engineers, Vol. 63, No. 12, pp. 1690-1696. https://doi.org/10.5370/KIEE.2014.63.12.1690
  4. Kim, D., Won, J., Son, E. S. and Park, K. D.(2012), "Generation of Grid Maps of GPS Signal Delays in the Troposphere and Analysis of Relative Point Positioning Accuracy Enhancement", Journal of Navigation and Port Research, Vol. 36, No. 10, pp. 825-832. https://doi.org/10.5394/KINPR.2012.36.10.825
  5. KMA (Korea Meteorological Administration)(2012), http://www.kma.go.kr/weather/observation/aws_table_popup.jsp, viewed on 9 January 2012.
  6. Seo, K. Y., Park, S. H., Cho, D. J. and Suh, S. H.(2009), "Design of Integrity Monitor Functions for Maritime DGPS RSIM", Journal of Navigation and Port Research, Vol. 33, No. 6, pp. 395-400. https://doi.org/10.5394/KINPR.2009.33.6.395
  7. Shin, M. Y., Cho, D. J., Yoo, Y. J., Hong, C. Y. and Park, S. H.(2013), "Anomaly Detection Technique of Satellite on Network RTK", Journal of Navigation and Port Research, Vol. 37, No. 1, pp. 41-48. https://doi.org/10.5394/KINPR.2013.37.1.41
  8. Yoo, Y., Cho, D. J., Park, S. H. and Shin, M. Y.(2011), "Detection Algorithm of Ionospheric Delay Anomaly Based on Multi-reference Stations for ionospheric Scintillation", Journal of Navigation and Port Research, Vol. 35, No. 9, pp. 701-706. https://doi.org/10.5394/KINPR.2011.35.9.701