Chirp-Style GNSS Jamming Signal Tracking and Geolocation

摘要

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 (c) 2016 Institute of Navigation