LoRa low-power wide-area network protocol has recently gained attention for deploying ad-hoc search and rescue (SaR) systems. They could be empowered by exploiting body-UAV links that enable communications between a body-worn radio and a UAV-mounted one. However, to employ UAVs effectively, knowledge of the signal's propagation in the environment is required. Otherwise, communications and localization could be hindered. The radio range, the packet delivery ratio (PDR), and the large- and small-scale fading of body-UAV LoRa links at 868 MHz when the radio wearer is in a Mediterranean forest are here characterized for the first time with a near-ground UAV having a maximum flying height of 30 m. A log-distance model accounting for the body shadowing and the wearer's movements is derived. Over the full LoRa radio range of about 600 m, the new model predicts the path loss (PL) better than the state-of-the-art ones, with a reduction of the median error even by 10 dB. The observed small-scale fading is severe and follows a Nakagami-m distribution. Extensions of the model for similar scenarios can be drawn through appropriate corrective factors.
翻译:LoRa低功耗广域网络协议最近因部署自组织搜救系统而受到关注。利用人-无人机链路可以增强这些系统。然而为了有效应用无人机,需要了解信号在环境中的传播状况。否则,通信和定位可能会受到阻碍。该研究在首次评估近地面无人机,在868 MHz下,当穿戴式无线电在地中海森林中时,测量无人机与穿戴式身份证上无线电之间的大、小尺度衰落、射程和数据包交付比(PDR)。得到了考虑穿戴式身份证上阴影和穿戴者运动的对数距离模型。在大约600米的整个LoRa无线电范围内,新模型预测路径损耗(PL)比现有模型更好,甚至平均误差降低10dB。由观测得到的小尺度衰落情况严重,并遵循Nakagami-m分布。通过适当的校正因素可以对类似场景进行模型扩展。