Litcius/Paper detail

Detection Performance to Spatially Random UAV Using the Ground Vehicle

Kezhi Wang, Hongjiang Lei, Gaofeng Pan, Cunhua Pan, Yue Cao

2020IEEE Transactions on Vehicular Technology20 citationsDOI

Abstract

It is very challenging to detect an unmanned-aerial-vehicle (UAV) when it is applied to launch an attack by the enemy's country, due to its feature of mobility and flexibility. Against this background, in this paper, from wireless communication point of view, we study the detection probability of home country's ground vehicle (GV) to enemy's ground-station (GS)-to-UAV transmission system. We assume that the location of the GV is randomly distributed inside the space confined by the largest detection distance. Moreover, we assume the enemy's UAV is randomly distributed in the coverage space of the GS-to-UAV (G2A) transmission link but also keep the security distance from the GS. To this end, we first characterize the statistical features of the signal-to-noise-ratio (SNR) over the G2V and G2A links. Then, we define detection outage probability (DOP) and average detection capacity (ADC), and show their approximations. Finally, Monte-Carlo simulations are conducted to verify the correctness of our proposed analytical models.

Topics & Concepts

Computer scienceMonte Carlo methodTransmission (telecommunications)Real-time computingWirelessSignal-to-noise ratio (imaging)CorrectnessFlexibility (engineering)Channel (broadcasting)AlgorithmComputer networkTelecommunicationsStatisticsMathematicsUAV Applications and OptimizationWireless Communication Security TechniquesAdvanced MIMO Systems Optimization