Automated ionospheric front velocity estimation algorithm for ground-based augmentation systems

Eugene Bang, Jiyun Lee, Jiwon Seo, Sam Pullen, Sigrid Close

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Ionospheric anomalies, which may occur during severe ionospheric storms, could pose integrity threats to Ground-based Augmentation System (GBAS) users [1], [2], [3]. The ionospheric threat for a Local Area Augmentation System (LAAS), a GBAS developed by the U.S. Federal Aviation Administration (FAA), was modeled as a spatially linear, semi-infinite "front" (like a weather front) with constant propagation speed. The model is parameterized by the slope (or gradient) of the front, its width, and its ground speed. Along with the magnitude of ionospheric gradients, the speed of the fronts in which these gradients are embedded is an important parameter for GBAS integrity analysis. This paper proposes an automated velocity estimation algorithm for anomalous ionospheric fronts. To examine the performance of this automated algorithm, we obtained estimation results for the points of the current Conterminous U.S (CONUS) threat space and compared these estimates to those manually computed previously. This new algorithm proposed in this paper is shown to be robust to faulty measurement and modeling errors. In addition, this algorithm is used to populate the current threat space with newly-generated threat points obtained from the Long-Term Ionospheric Anomaly Monitoring tool [4]. A larger number of velocity estimates helps to better understand the motion of ionospheric fronts under geomagnetic storm conditions.

Original languageEnglish
Title of host publicationInstitute of Navigation International Technical Meeting 2012, ITM 2012
Pages1570-1580
Number of pages11
Volume2
Publication statusPublished - 2012 Jul 27
EventInstitute of Navigation International Technical Meeting 2012, ITM 2012 - Newport Beach, CA, United States
Duration: 2012 Jan 302012 Feb 1

Other

OtherInstitute of Navigation International Technical Meeting 2012, ITM 2012
CountryUnited States
CityNewport Beach, CA
Period12/1/3012/2/1

Fingerprint

Aviation
Monitoring

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)

Cite this

Bang, E., Lee, J., Seo, J., Pullen, S., & Close, S. (2012). Automated ionospheric front velocity estimation algorithm for ground-based augmentation systems. In Institute of Navigation International Technical Meeting 2012, ITM 2012 (Vol. 2, pp. 1570-1580)
Bang, Eugene ; Lee, Jiyun ; Seo, Jiwon ; Pullen, Sam ; Close, Sigrid. / Automated ionospheric front velocity estimation algorithm for ground-based augmentation systems. Institute of Navigation International Technical Meeting 2012, ITM 2012. Vol. 2 2012. pp. 1570-1580
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Bang, E, Lee, J, Seo, J, Pullen, S & Close, S 2012, Automated ionospheric front velocity estimation algorithm for ground-based augmentation systems. in Institute of Navigation International Technical Meeting 2012, ITM 2012. vol. 2, pp. 1570-1580, Institute of Navigation International Technical Meeting 2012, ITM 2012, Newport Beach, CA, United States, 12/1/30.

Automated ionospheric front velocity estimation algorithm for ground-based augmentation systems. / Bang, Eugene; Lee, Jiyun; Seo, Jiwon; Pullen, Sam; Close, Sigrid.

Institute of Navigation International Technical Meeting 2012, ITM 2012. Vol. 2 2012. p. 1570-1580.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Bang E, Lee J, Seo J, Pullen S, Close S. Automated ionospheric front velocity estimation algorithm for ground-based augmentation systems. In Institute of Navigation International Technical Meeting 2012, ITM 2012. Vol. 2. 2012. p. 1570-1580