摘要翻译：
自由空间光学系统(FSO)是正在发展的无线技术之一。FSO是唯一在无线模式下具有最高数据速率的技术，但它受到恶劣天气条件的影响。本文对具有一定参数常数的FSO系统在不同调制格式（如RZ、NRZ、MDRZ、MODB和CSRZ）下进行了分析。计算了数据速率、链路范围、输入功率和衰减因子对系统性能的影响。气象条件应接近晴朗，适合FSO通信，同时衰减系数可达10dB/km。在所有情况下计算Q因子、接收信号功率和误码率，以获得系统性能的估计。结果表明，NRZ和RZ格式一直处于领先地位，具有最高的Q值。
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英文标题：
《Parametric Investigation Of Different Modulation Techniques On Free
  Space Optical Systems》
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作者：
Nauman Hameed, Tayyab Mehmood, Anisa Qasim
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最新提交年份：
2017
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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：
  Free Space Optics systems (FSO) is one of the evolving wireless technologies. FSO is the only technology with highest data rates in wireless mode of operation but it suffers from bad weather conditions. In this work, analysis is carried out on FSO system having certain parameters constant using different modulation formats (i.e. RZ, NRZ, MDRZ, MODB and CSRZ). Impact of data rate, link range, input power and attenuation factor has been computed. Weather conditions are supposed to be nearly clear and suitable for FSO communication while taking attenuation factor up to 10dB/Km. Q-factor, received signal power and BER is calculated in all scenarios for obtaining an estimate of system performance. Results have shown that NRZ & RZ formats are in the lead until now with highest Q values.
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PDF链接：
https://arxiv.org/pdf/1711.10858