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[电气工程与系统科学] 一种新型多跳中继辅助系统性能的新表达式 接收分集的FSO/RF混合通信系统 [推广有奖]

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能者818 在职认证  发表于 2022-3-11 17:10:30 来自手机 |AI写论文

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摘要翻译:
本文提出了一种新的多跳中继辅助混合自由空间光/射频(FSO/RF)通信系统,移动用户通过接收分集的多跳中继辅助混合FSO/RF链路与基站相连。在这种结构中,每个中继的接收信号被解调并转发。这是第一次在多跳混合FSO/RF系统中使用接收分集。研究了误码率(BER)和中断概率(P_out)作为系统性能指标。推导了这些判据的新的精确和渐近表达式,并用MATLAB仿真验证了所得结果。首次研究了接收天线数目和中继数目对这种结构性能的影响。结果表明,该结构对接收天线数目的依赖性较小;因此,在所提出的结构中,使用单天线接收具有与多天线相同的性能,同时低复杂度和功耗。所提出的结构在中强大气湍流状态下表现出独立的性能。因此,它不需要根据大气湍流情况进行自适应处理来匹配自己,因此具有成本效益,特别适合遇到大气湍流频繁变化的城市地区。
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英文标题:
《New expressions on the performance of a novel multi-hop relay-assisted
  hybrid FSO / RF communication system with receive diversity》
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作者:
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 paper a novel multi-hop relay-assisted hybrid Free Space Optical / Radio Frequency (FSO / RF) communication system is presented, in which a mobile user is connected to the Base Station via a multi-hop relay-assisted hybrid FSO / RF link with receive diversity. In this structure, received signal at each relay is demodulated and forwarded. This is the first time that in a multi-hop hybrid FSO / RF system, receive diversity is used. Bit Error Rate (BER) and Outage Probability (P_out) are investigated as system performance criteria. New exact and asymptotic expressions are derived for these criteria, and MATLAB simulations are provided to verify the obtained results. For the first time impact of number of receive antennas and number of relays on the performance of such a structure is investigated. Results indicate that proposed structure has low dependence on number of receive antennas; therefore, in the proposed structure use of single receive antenna has the same performance as the multi-antenna, while low complexity and power consumption. The proposed structure shows independent performance at moderate and strong atmospheric turbulence regimes. Hence, it does not require adaptive processing to match itself according to atmospheric turbulence condition, therefore is cost effective and particularly suitable for urban areas that encounter frequent changes in atmospheric turbulence.
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PDF链接:
https://arxiv.org/pdf/1806.08223
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关键词:通信系统 系统性 表达式 Applications Optimization 接收 情况 分集 diversity FSO

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