Abstract
Global Navigation Satellite Systems (GNSS) jamming is an acute problem in the world of modern navigation. As more and more applications rely on GNSS for both position and timing, jamming ramifications are becoming more severe. In this paper we suggest a novel framework to cope with these threats. First, a Bayesian jamming detection algorithm is introduced. The algorithm can both detect and track several jammers in a pre-defined region of interest. Then, a jamming coverage map algorithm is offered. Similar to cellular coverage maps, such a map can detect “weak” GNSS reception spots and handle them. Since jamming interference can be a dynamic phenomenon (e.g., a vehicle equipped with a jammer), the coverage map changes with time. Thus, interference patterns can be detected more easily. Utilizing the offered algorithm, both on simulation and field experiments, we have succeeded to localize an arbitrary jammer(s) within the region of interest. Thus, the results validate the viability of the proposed method.
Highlights
Crowdsource Framework for ThreatIt is almost impossible to imagine modern life without the use of Global Navigation Satellite Systems (GNSS)
Self driving vehicles heavily rely on other sensors, such as vision and LIght, Detection And Ranging (LIDAR), to navigate they rely on GNSS receivers to obtain a coarse position in the environment [1]
The jamming signal has to be band-limited for both to be able to concentrate its power in the band of our choice and not interfere with other applications transmitting in close frequencies
Summary
It is almost impossible to imagine modern life without the use of GNSS. From automobile and drone navigation, through assets tracking and to accurate synchronization for cellular base stations. It is important to mention that jamming attacks affect critical infrastructure such as airports and naval ports, as elaborated in [6] Another kind of threat can be achieved by GNSS clock drifting. Because GNSS satellites are extremely accurate (each satellite is equipped with four atomic clocks), cellular backhauls rely on them to synchronize their base station clocks. In the basic naive form of attack, called GNSS jamming, RF noise is transmitted in the carried frequency of the GNSS (1.5742 GHz for L1 GPS). This action increases the noise and, decreases the signal-to-noise ratio (SNR) up to a critical point where the GNSS receiver cannot calculate its self-position. Crowd-sourcing from several receivers and sensors enables jamming detection and localization
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