Exploring Radio Frequency-Based UAV Localization Techniques: A Comprehensive Review

Suha Abdulhussein Abdulzahra, Ali Kadhum M. Al-Qurabat
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Abstract

: UAVs (unmanned aerial vehicles) and WSNs (wireless sensor networks) are now two well-established technologies for monitoring, target tracking, event detection, and remote sensing. Typically, WSN is made up of thousands or even millions of tiny, battery-operated devices that measure, gather, and send information from their surroundings to a base station or sink. Within the realm of wireless positioning and communication, UAVs have garnered a lot of interest because of their remarkable mobility and simplistic deployment to tackle the problems of imprecise sensor placement, inadequate infrastructure coverage, and the massive quantity of sensing data that WSN collects. A crucial prerequisite for many position-based WSN applications is node location, or localization. The use of UAVs for localization is more preferable than permanent terrestrial anchor nodes due to their high accuracy and minimal implementation complexity. The possible interference or signal block in such an operating environment, however, might cause the Global Positioning System (GPS) to become ine ff ective or unobtainable. In these conditions, the need for innovative UAV-based sensor node location technologies has become essential. Radio frequency (RF)-based localization techniques are reviewed in the current paper. We examine the available RF features for localization and look into the current approaches that work well for unmanned vehicles. The most recent research on RF-based UAV localization is reviewed, along with potential avenues for future investigation.
探索基于无线电频率的无人机定位技术:全面回顾
:无人驾驶飞行器(UAV)和无线传感器网络(WSN)是目前用于监测、目标跟踪、事件检测和遥感的两种成熟技术。通常情况下,WSN 是由数千甚至数百万个由电池驱动的微小设备组成,这些设备测量、收集周围环境的信息,并将信息发送到基站或汇集点。在无线定位和通信领域,无人机因其卓越的移动性和简便的部署方式而备受关注,它们可以解决传感器位置不精确、基础设施覆盖不足以及 WSN 收集大量传感数据等问题。节点定位或本地化是许多基于位置的 WSN 应用的重要前提。与永久性地面锚节点相比,使用无人机进行定位更为可取,因为无人机精度高、实施复杂度低。然而,在这种运行环境中可能出现的干扰或信号阻断可能会导致全球定位系统(GPS)失效或无法使用。在这种情况下,基于无人机的创新传感器节点定位技术就变得至关重要。本文回顾了基于射频 (RF) 的定位技术。我们研究了可用于定位的射频特性,并探讨了目前适用于无人飞行器的方法。本文回顾了基于射频的无人飞行器定位技术的最新研究成果,以及未来可能的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Computing and Digital Systems
International Journal of Computing and Digital Systems Business, Management and Accounting-Management of Technology and Innovation
CiteScore
1.70
自引率
0.00%
发文量
111
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