Constructing ionospheric irregularity threat model for Korean SBAS

Eugene Bang, Jinsil Lee, Jiyun Lee, Jiwon Seo, Todd Walter

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


Single-frequency based Satellite-Based Augmentation Systems (SBAS), the augmentation of the Global Navigation Satellite System (GNSS), broadcast estimates of vertical ionospheric delays and confidence bounds on the delay errors at Ionospheric Grid Points (IGPs). Using an ionospheric irregularity undersampled threat model, the integrity bounds, called Grid Ionospheric Vertical Errors (GIVEs), must be augmented to bound ionospheric irregularity threats which may exist between or beyond Ionospheric Pierce Points (IPPs) under ionospheric storm conditions. Since the ionospheric disturbed conditions can vary significantly from one region to another region, threat models need to be built for regions where SBAS will be operational. This paper presents a new method for constructing an undersampled threat model for SBAS in the Korean region, examines the influence of threat model to system availability, and demonstrates the performance of a newly developed threat model. The existing method tabulates undersampled threats in the threat model as a function of two metrics which measure the density and uniformity of IPP distribution in a region. Thus, the threat model metrics, which characterize threatening undersampled geometries including the density of IPP distribution accurately, play a critical role in improving system performance. The first threat metric, fit radius, is defined by an IPP search method used for a planar fit algorithm. This paper first determines a range of the fit radius optimized for the Korean region by considering the ionospheric observability and quality of the planar fit. Next this paper proposes a new second metric, the Relative Bin Number (RBN) metric, alternative to the Relative Centroid Metric (RCM) currently used in WAAS. RBN is more effective than the existing threat metric in capturing the sparseness of the IPP distribution by measuring the ratio of the number of partitions in which IPPs are absent to the total number of partitions. In addition, other essential parameters for the Korean SBAS threat model construction, including GEO MT28 (Message Type 28), IGP formations, and the number of reference stations, are determined. In a preliminary assessment, the undersampled ionospheric threat model based on the new methodology increased the coverage of 99.9% availability for APV-I service from 18.48% to 91.10%.

Original languageEnglish
Pages (from-to)296-306
Number of pages11
JournalProceedings of the Institute of Navigation Pacific Positioning, Navigation and Timing Meeting, Pacific PNT
Publication statusPublished - 2013
EventInstitute of Navigation Pacific Positioning, Navigation and Timing Meeting, PACIFIC PNT 2013 - Honolulu, United States
Duration: 2013 Apr 222013 Apr 25

Bibliographical note

Funding Information:
The authors thank Per Enge, Sam Pullen, and Juan Blanch of Stanford for their support of this work. Eugene Bang was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012-0007550). Jinsil Lee was supported by the KAIST Institute. Jiwon Seo was supported by the Ministry of Knowledge Economy (MKE), Korea, under the “IT Consilience Creative Program” support program supervised by the National IT Industry Promotion Agency (NIPA) (NIPA-2012-H0201-12-1001).

Publisher Copyright:
© 2013 Proceedings of the Institute of Navigation Pacific Positioning, Navigation and Timing Meeting, Pacific PNT. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Transportation
  • Ocean Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Science Applications


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