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http://dx.doi.org/10.12815/kits.2020.19.4.116

Experimental Field Test of GNSS Jamming Signal Monitoring Based on Cloud Data Processing Technique at National Infra-Facilities  

Jin, Gwon gyu (Dept. of Department of Electrical and Computer Eng., Graduate School of Inha University)
Won, Jong hoon (Dept. of Department of Electrical Eng., Inha University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.19, no.4, 2020 , pp. 116-125 More about this Journal
Abstract
Incalculable damage will be incurred if the national infrastructure that provides services using GNSS signals is affected by jamming signals. To prevent this, a nationwide GNSS jamming monitoring network is necessary to detect the occurrence of a jamming signal, determine the type, and properly localize the jammer position. In this paper, 2-D images for live GNSS signals were generated to verify the environment of the jamming signals through the presence and type of GNSS jamming signals at K-City, which are the test beds for self-driving vehicles, and Incheon International Airport. The analysis was also conducted to detect the occurrence of the jamming signals, determine the type, and measure the jamming signal strength. As a result, a CWI type of jamming signal was detected in L2 band at K-City and in L5 band at Incheon International Airport.
Keywords
GNSS; National-infrastructure; Jamming signals; Cloud data processing;
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