Chirp-Style GNSS Jamming Signal Tracking and Geolocation

Ryan Mitch, Mark Psiaki and Tunc Ertan

Peer Reviewed

Abstract: Algorithms for tracking and geolocating the chirp-style signals emitted by Global Navigation Satellite System (GNSS) jammers are presented. Jammer use is a growing problem that can be mitigated by locating the devices, confiscating them, and sanctioning their users. Therefore, a Kalman filter that uses a chirp-style signal model and an FFT-based measurement model are developed for tracking GNSS jammer signals. The tracking results become inputs to a time-of-arrival geolocation Kalman filter. The algorithms are verified using real jammer data.
Published in: NAVIGATION: Journal of the Institute of Navigation, Volume 63, Number 1
Pages: 15 - 37
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