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[电气工程与系统科学] 用于mmWave MIMO的射频透镜嵌入天线阵的设计与性能 [推广有奖]

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nandehutu2022 在职认证  发表于 2022-3-5 08:54:30 来自手机 |AI写论文

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摘要翻译:
第五代无线系统(5G)对高速率的要求,要求最大限度地利用mmWave频段的带宽。为了补偿mmWave的高路径损耗,同时实现增益和方向性,研究者们提出了mmWave多输入多输出(MIMO)系统利用波束形成系统。mmWave中的混合波束形成在模拟处理模块上使用移相器,在获得高增益和方向性方面表现出良好的性能。然而,仍然存在的问题是mmWave波束形成系统的实际实现;制造这样一个系统是昂贵和复杂的。为了降低这种成本和复杂度,本文给出了透镜天线的实际样机,作为未来5G mmWave混合波束形成系统中的一种有效器件。利用透镜作为无源移相器可以实现波束形成而不需要有源移相器的庞大网络,而增益和方向性则是通过透镜的能量聚焦特性来实现的。本文提出了两种镜头天线,一种用于静态,另一种用于移动。通过软件定义无线电(SDR)平台,使用测量和仿真数据以及链路级分析来评估它们的性能。结果表明,该透镜天线具有较高的增益和方向性,与不使用透镜时相比,它改善了波束切换的可行性。系统级评估显示,在真实的室内和室外环境中,吞吐量都有显著的提高。此外,通过对不同尺寸透镜的评估,讨论了透镜天线的设计问题。
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英文标题:
《RF Lens-Embedded Antenna Array for mmWave MIMO: Design and Performance》
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作者:
Yae Jee Cho, Gee-Yong Suk, Byoungnam Kim, Dong Ku Kim, Chan-Byoung
  Chae
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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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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。
--
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:
  The requirement of high data-rate in the fifth generation wireless systems (5G) calls for the ultimate utilization of the wide bandwidth in the mmWave frequency band. Researchers seeking to compensate for mmWave's high path loss and to achieve both gain and directivity have proposed that mmWave multiple-input multiple-output (MIMO) systems make use of beamforming systems. Hybrid beamforming in mmWave demonstrates promising performance in achieving high gain and directivity by using phase shifters at the analog processing block. What remains a problem, however, is the actual implementation of mmWave beamforming systems; to fabricate such a system is costly and complex. With the aim of reducing such cost and complexity, this article presents actual prototypes of the lens antenna as an effective device to be used in the future 5G mmWave hybrid beamforming systems. Using a lens as a passive phase shifter enables beamforming without the heavy network of active phase shifters, while gain and directivity are achieved by the energy-focusing property of the lens. Proposed in this article are two types of lens antennas, one for static and the other for mobile usage. Their performance is evaluated using measurements and simulation data along with link-level analysis via a software defined radio (SDR) platform. Results show the promising potential of the lens antenna for its high gain and directivity, and its improved beam-switching feasibility compared to when a lens is not used. System-level evaluations reveal the significant throughput enhancement in both real indoor and outdoor environments. Moreover, the lens antenna's design issues are also discussed by evaluating different lens sizes.
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PDF链接:
https://arxiv.org/pdf/1801.07167
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关键词:wave MIM IMO AVE WAV 实现 antenna 作为 用于 使用

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