Jammer on the Horizon: A Robust Method for GPS Jammer Localization Using ADS-B Data

Abstract

GPS jamming has emerged as a significant threat, with ramifications extending across various sectors, especially in the realm of air traffic surveillance. This paper delves into the synergistic application of ADS-B data as a tool for the detection of large-scale GPS jamming attacks. By tapping into this resource, we demonstrate a system that continuously and promptly detects these threats over expansive regions. Analyzing data from our European network segment over a one-year period, we offer an in-depth characterization of the detected interference. In addition, we propose a novel method for locating the source of the interference under circumstances where existing methods fail. More specifically, existing methods are inadequate when the jammed area is not fully covered or air traffic is sparse. Addressing these gaps, we introduce a novel localization method that uses the ADS-B-based observations to reconstruct the GPS jammer’s radio horizon and then uses this information to determine its location.