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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >An Innovative Technique for Identification of Missing Persons in Natural Disaster Based on Drone-Femtocell Systems
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An Innovative Technique for Identification of Missing Persons in Natural Disaster Based on Drone-Femtocell Systems

机译：基于无人机-毫微微小区系统的自然灾害失踪人员识别创新技术

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The recent development of the IoT (Internet of Things), which has enabled new types of sensors that can be easily interconnected to the Internet, will also have a significant impact in the near future on the management of natural disasters (mainly earthquakes and floods) with the aim of improving effectiveness in research, identification, and recovery of missing persons, and therefore increasing the possibility of saving lives. In this paper, more specifically, an innovative technique is proposed for the search and identification of missing persons in natural disaster scenarios by employing a drone-femtocell system and devising an algorithm capable of locating any mobile terminal in a given monitoring area. In particular, through a series of power measurements based on the reference signal received power (RSRP), the algorithm allows for the classification of the terminal inside or outside the monitoring area and subsequently identify the position with an accuracy of about 1 m, even in the presence of obstacles that act in such a way as to make the propagation of the radio signal non-isotropic.
机译：物联网（IoT）的最新发展使新型传感器能够轻松互连到Internet，这在不久的将来还将对自然灾害（主要是地震和洪水）的管理产生重大影响。目的是提高对失踪人员的研究，鉴定和康复的效率，从而增加挽救生命的可能性。在本文中，更具体地，提出了一种创新技术，该技术通过使用无人机毫微微小区系统并设计一种能够在给定监视区域中定位任何移动终端的算法来搜索和识别自然灾害场景中的失踪人员。特别是，通过基于参考信号接收功率（RSRP）的一系列功率测量，该算法可以对监控区域内部或外部的终端进行分类，并随后以约1 m的精度识别位置，即使在障碍物的存在使无线电信号的传播成为非各向同性。

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