Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVs

Li, Kai; Kanhere, Salil S.; Ni, Wei; Tovar, Eduardo; Guizani, Mohsen

http://hdl.handle.net/10400.22/14575

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This paper considers that a legitimate UAV tracks suspicious UAVs’ flight for preventing intended crimes and terror attacks. To enhance tracking accuracy, the legitimate UAV proactively eavesdrops suspicious UAVs’ communication via sending jamming signals. A tracking algorithm is developed for the legitimate UAV to track the suspicious flight by comprehensively utilizing eavesdropped packets, angle-of-arrival and received signal strength of the suspicious transmitter’s signal. A new co-simulation framework is implemented to combine the complementary features of optimization toolbox with channel modeling (in Matlab) and discrete event-driven mobility tracking (in NS3). Moreover, numerical results validate the proposed algorithms in terms of tracking accuracy of the suspicious UAVs’ trajectory