无人机应用中的软件定义无线电部署:全面回顾

IF 5.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of Vehicular Technology Pub Date : 2024-10-09 DOI:10.1109/OJVT.2024.3477937
Emmanouel T. Michailidis;Konstantinos Maliatsos;Demosthenes Vouyioukas
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引用次数: 0

摘要

在过去几年中,无人驾驶飞行器(UAV)日益成为各种关键民用和军事应用的主要组成部分。随着技术的快速发展,特别是在软件定义无线电(SDR)和现场可编程门阵列(FPGA)领域,基于无人机的系统有望出现先进的通信协议和信号处理方法。最重要的是,无人机有望利用 SDR 增强通信、传感、数据处理和防御机制。从这个角度出发,本文对基于无人机系统的 SDR 技术集成进行了全面的最新回顾,包括最新的技术、方法和挑战。具体而言,本文研究了基于 SDR 的无人机系统在通信、安全、探测、分类和定位等不同领域的案例研究和实际应用,阐明了其功效、限制因素和潜在改进领域。通过这篇综述,为有兴趣利用 SDR 与无人机技术之间的协同作用来满足当代应用不断变化的要求并为该领域的未来创新铺平道路的研究人员、工程师和从业人员提供了宝贵的见解。
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Software-Defined Radio Deployments in UAV-Driven Applications: A Comprehensive Review
During the last few years, Unmanned Aerial Vehicles (UAVs) have increasingly become primary components of various critical civilian and military applications. As technology rapidly evolves, particularly in the realm of Software-Defined Radio (SDR) and Field-Programmable Gate Arrays (FPGAs), advanced communication protocols and signal processing methods are expected to emerge within UAV-based systems. Crucially, UAVs are expected to capitalize on SDR to enhance communication, sensing, data processing, and defense mechanisms. With this perspective in mind, this paper provides a comprehensive up-to-date review of the integration of SDR technology in UAV-based systems, encompassing the latest techniques, methodologies, and challenges. Specifically, this paper examines case studies and real-world implementations of SDR-assisted UAV-based systems across various domains, including communication, security, detection, classification, and localization, elucidating their efficacy, constraints, and areas for potential improvement. Through this review, valuable insights are offered to researchers, engineers, and practitioners interested in harnessing the synergies between SDR and UAV technologies to address the evolving requirements of contemporary applications and pave the path for future innovations in the field.
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来源期刊
CiteScore
9.60
自引率
0.00%
发文量
25
审稿时长
10 weeks
期刊最新文献
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