DocumentCode
2213149
Title
Method for detecting jamming signals superimposed on a radio communication application to the surveillance of railway environments
Author
Heddebaut, Marc ; Deniau, Virginie ; Rioult, Jean ; Copin, Gregoire
Author_Institution
Univ Lille Nord de France, IFSTTAR, COSYS, LEOST, 59650 Villeneuve d´Ascq, France
fYear
2015
fDate
16-22 Aug. 2015
Firstpage
1089
Lastpage
1094
Abstract
The Railroad network composed of stations, depots, tracks, trains… constitutes one of the major critical infrastructures in industrial countries. Because of this criticality and of its large deployment, studying the resilience of the railway network regarding intentional electromagnetic interferences (IEMI) is important. This paper considers IEMIs generated by low power electromagnetic jammers operated in railway environments. Jammers can be used to disturb or even interrupt the radio communications of railway operators. This paper concentrates on methods which were developed and evaluated to detect jamming signals appearing in a radio channel while a radio communication is running. Several supervised detection methods were tested. We concentrate and detail one of these methods which is derived from conventional EMC measurements. We present two hardware and software implementations using successively a real time analyzer and a prototype equipment built in the laboratory. Jamming signals are injected on a cellular phone radio communication and the results are analyzed. We obtain that the jamming signals are readily detected and some of their radiofrequency characteristics extracted.
Keywords
Downlink; GSM; Jamming; Rail transportation; Real-time systems; Time-frequency analysis; Detection; GSM-Railway; Intentional Electromagnetic Interference; Radio jammer; Supervised method; Test bench;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Compatibility (EMC), 2015 IEEE International Symposium on
Conference_Location
Dresden, Germany
Print_ISBN
978-1-4799-6615-8
Type
conf
DOI
10.1109/ISEMC.2015.7256320
Filename
7256320
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