GPS Jamming Environment Prediction Based on Discrete Data Sampling

Jim Fitch

Abstract:	Concerning the problem of GPS jamming threats, the Jammer Detection and Location System (JLOC) is looking at new ways to locate and discriminate GPS interference sources. The JLOC program is developing new technologies to accomplish this task. These technologies will combine data recorded by GPS User Equipment (UE) and transmit to a central location. We will use this data to estimate the GPS jamming-to-signal (J/S) ratio level over the entire Area of Interest (AOI). J/S values are computed based upon output from specially designed GPS receivers. The J/S data consists of values at known geographical coordinates. With J/S values at discrete locations, it is desired to estimate the J/S levels over the AOI. To accomplish this task, two methods of data interpolation are explored – Inverse Distance Weighting (IDW) and Ordinary Kriging interpolation. These data interpolation methods provide a means of visualizing a J/S contour plot over a 2-D grid space that is representative of the discrete J/S data points collected. Examined data include real-world and simulated values. The GPS Interference and Navigation Tool (GIANT) is used as a basis for comparison to the real-world data. Results indicate it is possible to “paint a general picture” of the jamming environment. Potentially, these methods can be used to provide a very accurate location of the jamming interference source.
Published in:	Proceedings of the 2004 National Technical Meeting of The Institute of Navigation January 26 - 28, 2004 The Catamaran Resort Hotel San Diego, CA
Pages:	1011 - 1017
Cite this article:	Fitch, Jim, "GPS Jamming Environment Prediction Based on Discrete Data Sampling," Proceedings of the 2004 National Technical Meeting of The Institute of Navigation, San Diego, CA, January 2004, pp. 1011-1017.
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