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[电气工程与系统科学] FSO/RF混合通信系统的性能分析 阿拉木图编码或天线选择 [推广有奖]

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nandehutu2022 在职认证  发表于 2022-3-16 19:10:00 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:
本文提出了一种新型的双跳中继辅助混合自由空间光/射频(FSO/RF)通信系统。在该系统中,射频信号从两根天线发射,然后由单根天线中继通过FSO信道转发。本文首次研究了在FSO/RF混合系统发射机上使用Alamouti编码(AC)或天线选择(AS)的性能。FSO链路存在Gamma-Gamma大气湍流,为了更接近实际结果,还考虑了指向误差的影响。首次推导了系统误码率和中断概率的闭式表达式,并通过MATLAB仿真进行了验证。结果表明,在该结构中,AC方案和AS方案的性能差别不大。因此,由于更复杂,功耗和延迟的交流,这是建议的。双跳混合FSO/RF系统显著地提高了系统的性能和可靠性,特别适合于源端和目的地之间无法直接进行RF通信的远距离应用。考虑到这些优点,这种结构特别适合于具有功率和处理限制的移动通信。
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英文标题:
《Performance analysis of hybrid FSO/RF communication systems with
  Alamouti Coding or Antenna Selection》
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作者:
Javad Sayehvand, Mohammad Ali Amirabadi
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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 this work a novel dual-hop relay-assisted hybrid Free Space Optical / Radio Frequency (FSO / RF) communication system is presented. In this system, RF signal is transmitted from two antennas, and then forwarded by a single antenna relay through FSO channel. This is the first time that performance of using Alamouti Coding (AC) or Antenna Selection (AS) at the transmitter of a hybrid FSO / RF system is investigated. FSO link has Gamma-Gamma atmospheric turbulence, and in order to get closer to the actual results, the effect of pointing error is also considered. For the first time closed-form expressions are derived for Bit Error Rate (BER) and Outage Probability of the proposed system and validated through MATLAB simulations. Results indicate that in this structure, there is slight performance difference between AC and AS schemes. Hence due to more complexity, power consumption and latency of AC, AS is recommended. Dual-hop, hybrid FSO / RF system significantly improves performance and reliability of the system, and is particularly suitable for long-range applications that direct RF communication between source and destination is not possible. Considering these advantages this structure is particularly suitable for mobile communications which has power and processing limitations.
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PDF链接:
https://arxiv.org/pdf/1802.07286
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关键词:阿拉木图 性能分析 通信系统 Applications Optimization 天线 中断 relay Coding 进行

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