This paper investigates the simulation, Kalman Filtertracking, and Kalman Filter geolocation of a chirp{type civilian Global Positioning System (GPS) jam-mer. The paper is divided into four parts. The rsttwo parts present information on the current genera-tion of GPS jammers and propose a simple methodof jammer signal simulation. The third part outlinesa method by which a Kalman Filter can track thestate of the simulated signal at the output of a sim-ulated radio frequency (RF) front end. The methoduses in-phase and quadrature accumulations, accu-mulation models, and noise models. The paper alsoconsiders the computational speed and numerical is-sues of the proposed system. Results are presentedfor the Kalman Filter signal tracker on data froma truth-model simulation. The fourth part outlinesa particular implementation of a Time Dierence ofArrival (TDOA) jammer geolocation system and itsassociated state and measurements. A method ofTime{of{Arrival measurement formulation which re-duces the required communication bandwidth betweendierent TDOA stations is also presented. A jammerTDOA data collection campaign at White Sands Mis-sile Range in June of 2012 is detailed. Results of theproposed TDOA jammer geolocation system on twosets of real data are compared to Inertial Navigation System (INS) position estimates.
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