Detection Technology Of Jamming And Cloning Station In GSM-R Based On HSR-REM

In GSM-R system, the criminal terrorists may attack train-ground communication system through strong jamming and cloning station, which may cause leakage of important information, error train operation, interruption of communication, and even serious security incidents. As a result, it’s of great significance to detect and exclude jamming and cloning station timely when trains run along the railway. The focus of the thesis is to study the detection technology of jamming and cloning station in GSM-R system based on high-speed railway radio-environment map (HSR-REM.).In the thesis, the detection is implemented based on the changes of the values of received signal strength (RSS) of mobile terminal. Models of GSM-R system, wireless channel, cloning station and jammer are presented in the thesis. Meanwhile, the changes of station RSS are analyzed when cloning station model or jammer are introduced into the system.Signals are collected to establish the reference fingerprint database. When jamming or cloning signals are introduced, terminals collect and match the real-time finger data with the reference finger database to get the reference fingerprint data and implement the detection of the cloning station and jammer. The energy detection of spectrum sensing in cognitive radio spectrum sensing is applied to the detection of the jammer and cloning station here. The single-and dual-threshold identification schemes are proposed. Simulating performance of both the false detection ratio and missing detection ratio under different thresholds are obtained to analvze and evaluate various detection schemes. Simulation results show that the performance of dual-threshold scheme is better than single-threshold one for cloning station detection. And the false detection ratio and missing detection ratio of single-threshold Identification scheme for sweeping-frequency jamming is small, the performance is good.Finally, the thesis describes the programming implementation of each module based on vs2008and Oracle. The simulation results show the feasibility of the proposed scheme.