Abstract: | This paper investigates the simulation, Kalman Filter tracking, and Kalman Filter geolocation of a chirp{ type civilian Global Positioning System (GPS) jam- mer. The paper is divided into four parts. The rst two parts present information on the current genera- tion of GPS jammers and propose a simple method of jammer signal simulation. The third part outlines a method by which a Kalman Filter can track the state of the simulated signal at the output of a sim- ulated radio frequency (RF) front end. The method uses in-phase and quadrature accumulations, accu- mulation models, and noise models. The paper also considers the computational speed and numerical is- sues of the proposed system. Results are presented for the Kalman Filter signal tracker on data from a truth-model simulation. The fourth part outlines a particular implementation of a Time Dierence of Arrival (TDOA) jammer geolocation system and its associated state and measurements. A method of Time{of{Arrival measurement formulation which re- duces the required communication bandwidth between dierent TDOA stations is also presented. A jammer TDOA data collection campaign at White Sands Mis- sile Range in June of 2012 is detailed. Results of the proposed TDOA jammer geolocation system on two sets of real data are compared to Inertial Navigation |
Published in: |
Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012) September 17 - 21, 2012 Nashville Convention Center, Nashville, Tennessee Nashville, TN |
Pages: | 2901 - 2920 |
Cite this article: | Mitch, Ryan H., Psiaki, Mark L., O'Hanlon, Brady W., Powell, Steven P., Bhatti, Jahshan A., "Civilian GPS Jammer Signal Tracking and Geolocation," Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. 2901-2920. |
Full Paper: |
ION Members/Non-Members: 1 Download Credit
Sign In |