Detection Performance to Spatially Random UAV Using the Ground Vehicle

Wang, Kezhi, Lei, Hongjiang, Pan, Gaofeng, Pan, Cunhua and Cao, Yue (2020) Detection Performance to Spatially Random UAV Using the Ground Vehicle. IEEE Transactions on Vehicular Technology. ISSN 0018-9545 (In Press)

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Abstract

It is very challenging to detect an unmannedaerial-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 groundstation (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.

Item Type: Article
Uncontrolled Keywords: Average Detection Capacity, Detection Outage Probability, Spatially Random UAV, Ground Vehicle
Subjects: G400 Computer Science
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 14 Dec 2020 10:53
Last Modified: 14 Dec 2020 11:00
URI: http://nrl.northumbria.ac.uk/id/eprint/44972

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