Modeling And Detection Of Hostile Jamming In Spread Spectrum Systems

Along with the rapid prevalence of wireless communications, security has become an urgent issue. Due to the lack of a protective physical boundary, wireless information transmission is subjected to hostile jamming attacks, in which the malicious users deliberately interfere the authorized users signal through various jamming techniques. It is crucial to study the essential characteristics of commonly used hostile jamming attacks, so as to distinct malicious jamming from noise and the self-jamming effect caused by multipath propagation. This paper is focused on the modeling and detection of hostile jamming in spread spectrum systems. First, a general two-dimensional model was proposed to characterize jamming signals from both the time domain and the frequency domain. Second, the model is studied closely and refined for spread spectrum systems, including both frequency hopping and direct sequence spread spectrum systems. Third, jamming detection methods based on both the statistical hypothesis test and the measurement/calculation of power spectral density of the received signal are proposed. Finally, simulation examples are provided to illustrate the effectiveness of the proposed approaches.