Chirp‐Style GNSS Jamming Signal Tracking and Geolocation. Issue 1 (March 2016)

• Record Type: Journal Article
• Authors: Mitch, Ryan; Psiaki, Mark; Ertan, Tunc
• Is Part Of: Navigation. Volume 63:Issue 1(2016)
• Page Start: 15
• Page End: 35
• Publication Date: 2016-03
• Subjects: Navigation -- Periodicals; Navigation (Aeronautics) -- Periodicals; Navigatie; Navigation -- Périodiques; Navigation (Aéronautique) -- Périodiques; NAVIGATION; MARITIME SATELLITES; NAVIGATION SATELLITES; 527.05
• DOI: 10.1002/navi.128
• Languages: English
• ISSNs: 0028-1522

Abstract

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. Copyright © 2016 Institute of Navigation