无人驾驶空地传播信道建模研究综述 空中飞行器

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摘要翻译：
近年来，无人驾驶航空器的使用急剧增加，特别是小型无人驾驶航空器，因为它们价格实惠、易于获得和易于操作。无人机现有和未来的应用包括远程监视和监控、救援行动、包裹运送和通信回程基础设施。此外，无人机被设想为5G无线技术及其后的重要组成部分。无人机独特的应用场景要求精确的空地(AG)传播信道模型，用于设计和评估无人机控制/非有效载荷以及有效载荷数据传输的通信链路。与地面传播模型相比，这些AG传播模型还没有得到详细的研究。本文对现有的AG信道测量活动、大尺度和小尺度衰落信道模型、它们的局限性以及未来的研究方向进行了综述。
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英文标题：
《A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned
  Aerial Vehicles》
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作者：
Wahab Khawaja, Ismail Guvenc, David Matolak, Uwe-Carsten Fiebig,
  Nicolas Schneckenberger
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  In recent years, there has been a dramatic increase in the use of unmanned aerial vehicles (UAVs), particularly for small UAVs, due to their affordable prices, ease of availability, and ease of operability. Existing and future applications of UAVs include remote surveillance and monitoring, relief operations, package delivery, and communication backhaul infrastructure. Additionally, UAVs are envisioned as an important component of 5G wireless technology and beyond. The unique application scenarios for UAVs necessitate accurate air-to-ground (AG) propagation channel models for designing and evaluating UAV communication links for control/non-payload as well as payload data transmissions. These AG propagation models have not been investigated in detail when compared to terrestrial propagation models. In this paper, a comprehensive survey is provided on available AG channel measurement campaigns, large and small scale fading channel models, their limitations, and future research directions for UAV communication scenarios.
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PDF链接：
https://arxiv.org/pdf/1801.01656

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关键词：无人驾驶 飞行器 Applications Optimization Surveillance 无人机 模型 价格 无人驾驶