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无人飞行器在植被和湖泊地区的传播信道:一阶和二阶统计分析。

Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical Analysis.

机构信息

Post-Graduate Program in Electrical and Computer Engineering, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, Brazil.

Department of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, MG, Brazil.

出版信息

Sensors (Basel). 2021 Dec 23;22(1):65. doi: 10.3390/s22010065.

Abstract

The use of unmanned aerial vehicles (UAV) to provide services such as the Internet, goods delivery, and air taxis has become a reality in recent years. The use of these aircraft requires a secure communication between the control station and the UAV, which demands the characterization of the communication channel. This paper aims to present a measurement setup using an unmanned aircraft to acquire data for the characterization of the radio frequency channel in a propagation environment with particular vegetation (Caatinga) and a lake. This paper presents the following contributions: identification of the communication channel model that best describes the characteristics of communication; characterization of the effects of large-scale fading, such as path loss and log-normal shadowing; characterization of small-scale fading (multipath and Doppler); and estimation of the aircraft speed from the identified Doppler frequency.

摘要

近年来,使用无人机 (UAV) 提供互联网、货物运输和空中出租车等服务已经成为现实。这些飞机的使用需要控制站和无人机之间的安全通信,这就需要对通信信道进行特征描述。本文旨在介绍一种使用无人机获取数据的测量设置,用于对具有特殊植被(卡廷加)和湖泊的传播环境中的射频信道进行特征描述。本文提出了以下贡献:确定最能描述通信特性的通信信道模型;对大尺度衰落(如路径损耗和对数正态阴影衰落)的影响进行特征描述;对小尺度衰落(多径和多普勒)进行特征描述;以及从识别出的多普勒频率估计飞机速度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5498/8747279/bf0f62a41a27/sensors-22-00065-g0A1.jpg

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