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[电气工程与系统科学] 无人机在城市环境中的信道模型 通信 [推广有奖]

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可人4 在职认证  发表于 2022-3-8 19:52:40 来自手机 |只看作者 |坛友微信交流群|倒序 |AI写论文

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摘要翻译:
为了开发和分析无人机的可靠通信链路,需要精确的传播信道模型。由于办公楼散射路径众多,城市场景下的无线电信道特性不同于郊区场景和空旷地区场景,尤其是无人机在低空飞行时。我们在公寓和办公楼拥挤的清华大学校园里进行了一些测量活动。根据测量结果,提取了路径损失模型的主要参数,并提出了一种具有特定参数的简化Saleh-Valenzuela(SV)模型。在K因子分析和均方根(RMS)延时扩展分析中,将中央草坪这一典型场景与办公建筑进行了比较。
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英文标题:
《Channel Model in Urban Environment for Unmanned Aerial Vehicle
  Communications》
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作者:
Zhi Yang, Lai Zhou, Guangyue Zhao, Shidong Zhou
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最新提交年份:
2018
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分类信息:

一级分类:Computer Science        计算机科学
二级分类:Information Theory        信息论
分类描述:Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.
涵盖信息论和编码的理论和实验方面。包括ACM学科类E.4中的材料,并与H.1.1有交集。
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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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一级分类:Mathematics        数学
二级分类:Information Theory        信息论
分类描述:math.IT is an alias for cs.IT. Covers theoretical and experimental aspects of information theory and coding.
它是cs.it的别名。涵盖信息论和编码的理论和实验方面。
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英文摘要:
  In order to develop and analyze reliable communications links for unmanned aerial vehicles (UAVs), accurate models for the propagation channel are required. The radio channel properties in the urban scenario are different from those in the suburb scenario and open area due to so many scattering paths from office buildings, especially when the UAV flies in the low altitude. We took some measurement campaigns on the campus of Tsinghua University with crowded apartments and office buildings. Based on the measurement result we extract the main parameters of pathloss model, and propose a simplified Saleh-Valenzuela (SV) model with specific parameters. The typical scene of central lawn is compared with the office buildings in the analysis of K-factor and root-mean-square (RMS) delay spread.
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PDF链接:
https://arxiv.org/pdf/1805.04328
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关键词:城市环境 无人机 Applications Experimental Optimization 可靠 延时 模型 无人机 简化

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