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, 62 (12). 16320 -16324. ISSN 0018-9545

Preview

Text paper_final_version.pdf - Accepted Version Download (822kB) | Preview

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.

Actions (login required)

View Item

Downloads