Localizing the October 2022 Texas Jamming Incident Using ADS-B Data with an Improvement in Model Confidence

Zixi Liu, Sherman Lo, Juan Blanch, Todd Walter

Peer Reviewed

Abstract: GNSS serves several safety-of-life applications in aviation such as precise navigation for landing operations, collision avoidance, and Air Traffic Control (ATC). GNSS interference events happening near airports can severely affect safe operations in the airspace and can be hazardous for aircraft on approach or landing. Many interference events occur throughout the year, affecting US air traffic. A notable one is an interference event that happened at Dallas-Fort Worth International Airport (KDFW) in October/2022 which caused a widespread disruption. The source has still not been identified. Therefore, the main goal of this study is to solve the Texas mystery by providing our best estimate of when, where, what type, and how likely the interference source should be. The second goal of this study is to improve the model confidence of our localization algorithm. This helps ensure that even though the final estimated location might not be precisely the same as the underlying true jammer location, the corresponding error bound should have a size that is small enough to be used to narrow down the source location through a ground search.
Published in: Proceedings of the 2024 International Technical Meeting of The Institute of Navigation
January 23 - 25, 2024
Hyatt Regency Long Beach
Long Beach, California
Pages: 524 - 531
Cite this article: Liu, Zixi, Lo, Sherman, Blanch, Juan, Walter, Todd, "Localizing the October 2022 Texas Jamming Incident Using ADS-B Data with an Improvement in Model Confidence," Proceedings of the 2024 International Technical Meeting of The Institute of Navigation, Long Beach, California, January 2024, pp. 524-531. https://doi.org/10.33012/2024.19558
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