3DSAR+:利用 5G-NR 的单无人机 3D 蜂窝式搜救解决方案

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of the Communications Society Pub Date : 2024-08-02 DOI:10.1109/OJCOMS.2024.3437681
Andra Blaga;Federico Campolo;Maurizio Rea;Xavier Costa-Pérez
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引用次数: 0

摘要

每年都有数百万人在紧急情况下丧生。在尽可能短的时间内确定失踪人员的位置是减少死亡人数的最有效工具。然而,当受害者无法进行自我沟通,或者身处广阔而难以到达的地区时,这就具有了挑战性。在障碍物或能见度低的条件下,或者由于缺乏蜂窝网络基础设施,当前的受害者定位技术方法往往无法使用。为了解决这些问题,我们提出了 3DSAR+,这是一种利用 5G 新无线电(NR)技术的开创性单无人机三维蜂窝搜救(SAR)解决方案。3DSAR+ 系统在多样化和具有挑战性的环境中引入了动态自主三维无人机轨迹,为搜救任务中的急救人员提供了一个强大的工具。所提方法的主要创新点在于先进的距离和角度估计,并结合机器学习(ML)算法进行位置预测和校正。该方法能够通过手机估算受害者的位置,无需额外设备,与基线解决方案相比,定位精度提高了一个数量级。
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3DSAR+: A Single-Drone 3D Cellular Search and Rescue Solution Leveraging 5G-NR
Every year millions of lives are lost in emergency situations. Localizing missing people in the shortest possible timeframe is the most effective tool to reduce such a death toll. However, this is challenging when the victims are unable to communicate by themselves or located in large and difficult-toreach areas. Current technological approaches for victim localization are often rendered inoperable under obstacles or low visibility conditions, or due to the lack of cellular networking infrastructure. Toward addressing these issues, we present 3DSAR+, a pioneering single-drone three-dimensional (3D) cellular search-and-rescue (SAR) solution leveraging 5G-new radio (NR) technology. 3DSAR+ system introduces dynamic autonomous 3D UAV trajectories in diverse and challenging environments, offering a robust tool for first responders in SAR missions. The main novelty of the proposed approach lies in advanced distance and angle estimation combined with machine learning (ML) algorithms for position prediction and correction. The approach is able to estimate victims’ locations through their mobile phones without requiring extra equipment and improves localization accuracy by an order of magnitude compared to baseline solutions.
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来源期刊
CiteScore
13.70
自引率
3.80%
发文量
94
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.
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