摘要翻译：
地星链路的性能在很大程度上取决于各种环境因素，如雨、雾、云，以及大气效应，如电离层和对流层闪烁。本文根据测量的相对湿度、温度等气候参数，对副热带国家孟加拉国对流层闪烁进行了预测。本文采用ITU闪烁模型进行预测。选择孟加拉国的达卡、吉大港、拉杰沙希和西尔赫特四个主要城市进行闪烁预测。模拟结果表明，受闪烁衰减深度(SFD)影响最大的地区是Rajshahi，其次是Chittagong，SFD最小的地区是Dhaka和Sylhet。受考虑城市之间的可持续发展指数差异不大。研究还发现，SFD随使用频率的变化范围为3～13 dB。此外，在孟加拉雨季发现了更高的闪烁。在此期间，闪烁变成平均数字的两倍。
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英文标题：
《The Tropospheric Scintillation Prediction based on measured data for
  earth-to-satellite link for Bangladeshi climatic condition》
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作者：
Md. Sakir Hossain, Md Abdus Samad
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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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一级分类：Physics        物理学
二级分类：Atmospheric and Oceanic Physics        大气与海洋物理
分类描述：Atmospheric and oceanic physics and physical chemistry, biogeophysics, and climate science
大气和海洋物理和物理化学，生物地球物理和气候科学
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英文摘要：
  The performance of earth-to-satellite link largely depends on various environmental factors like rain, fog, cloud, and atmospheric effects like ionospheric and tropospheric scintillation. In this paper, the tropospheric scintillation of Bangladesh, a subtropical country, is predicted based on measured climatic parameters, like relative humidity, temperature. In this prediction, ITU scintillation model are used. Four major cities, named Dhaka, Chittagong, Rajshahi and Sylhet, of Bangladesh are selected for prediction of scintillation. From the simulation result, Rajshahi is found to be the most badly affected region by the scintillation fade depth (SFD), which is followed by Chittagong and the SFD is minimum in Dhaka and Sylhet. The difference in SFDs among the considered cities does not vary heavily. It is also found that the SFD varies from 3 dB to 13 dB depending on the frequency in used. Moreover, higher scintillation is found in rainy season of Bangladesh. During this period, the scintillation becomes double of the average figure.
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PDF链接：
https://arxiv.org/pdf/1711.10882