| L与X波段气象卫星信道概率统计特性 |
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| 引用本文： | 张秀再,郭业才,陈金立,杨昌军.L与X波段气象卫星信道概率统计特性[J].应用气象学报,2012,23(4):478-484. |
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| 作者姓名： | 张秀再 郭业才 陈金立 杨昌军 |
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| 作者单位： | 1.南京信息工程大学，南京 210044 |
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| 基金项目： | 资助项目：江苏省普通高校研究生科研创新计划项目（CX10B_303Z）,江苏省高校自然科学研究项目（11KJB510008），江苏高等优势学科“传感网与现代气象装备”建设项目 |
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| 摘 要： | 为研究大气空间物理层对气象卫星通信的影响，将影响气象卫星信道特性的天气状态分为晴空少云、多云和阴雨天气3种情况，根据不同的静态信道特性分别推导了地面接收气象卫星信号的包络变化规律服从Rayleigh分布 (阴雨天气)、Rice分布 (部分阴影遮挡)、Lognormal分布 (全阴影遮挡) 和Gauss分布 (晴空少云)，并建立了相应的概率分布 (PDF) 仿真模型。计算机仿真结果表明:不同传输特性下接收信号组成成分的不同造成其包络概率密度曲线的差异，仿真模型与理论模型的概率密度曲线符合程度很好，验证了理论分析的正确性和有效性，为分析地面接收的气象卫星的数据误码率提供了理论基础。
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| 关 键 词： | 气象卫星信道 统计特性 建模仿真 |
| 收稿时间： | 2011-09-22 |
Statistical Characterization for L and X Band Meteorological Satellite Channel |
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| Zhang Xiuzai,Guo Yecai,Chen Jinli and Yang Changjun.Statistical Characterization for L and X Band Meteorological Satellite Channel[J].Quarterly Journal of Applied Meteorology,2012,23(4):478-484. |
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| Authors: | Zhang Xiuzai Guo Yecai Chen Jinli and Yang Changjun |
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| Affiliation: | 1.Nanjing University of Information Science & Technology, Nanjing 2100442.Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081 |
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| Abstract: | Communication’s environment of the meteorological satellite is the physical layer of the atmosphere. In different weather conditions,there are varying degrees of attenuation,shadowing and multipath effects in meteorological satellite channels due to the impact of cloud and rainfall,which makes the receiving signals become unstable concerning to the atmosphere state,and result in inter-symbol interference,affecting the quality of receiving meteorological satellite data,prediction of weather phenomena. In order to study the influence of the physical layer of atmospheric space on meteorological satellite communications,the weather conditions affecting meteorological satellite transmission are classified into three cases:Clear sky,cloudy and rainy weather.There are thick clouds,covering clouds and rainfall in the rainy weather,which take the whole shadow block above the ground station receiving signals of the meteorological satellite communications.In this case,the signals received by ground station are only composed of multipath scattering signals without the line of sight,and the envelope probability density function (PDF) obeys the statistical characterizations of Rayleigh.There are thick clouds and covering clouds in the cloudy weather,which form part of the shadow block over a certain range spread above the ground station.In this case,the signals received by ground station may have two situations.One circumstance, the received signals are composed of the line of sight and a certain intensity of multipath scattering signals that are diffracted,refracted and scattered,and PDF obeys the statistical characterizations of Rice.The other circumstance,the received signals are composed of the line of sight obscured by clouds,and PDF obeys the statistical characterizations of Lognormal.There are a few thin clouds in the clear sky and good visibility in the high atmosphere layer,when the signals received by ground station are composed of very weak multipath scattering signals and the line of sight,and PDF obeys the statistical characterizations of Gauss. According to theoretical analysis,the simulation models of Rayleigh,Rice,Lognormal and Gauss probability distribution are established.Through the computer calculation,the results of the simulation models show that the signals received by ground station with different composition lead to different statistical characterizations because meteorological satellite signal pass through different physical state of the atmosphere. The multipath scattering signals both exist in the Rice channel and the Rayleigh channel,however, the line of sight only exists in the Rice channel.Gauss channel model and the Rice channel model have the same structure,but the received signals in both channels have different intensity of the multipath scattering components.That explains the cause why the variety of the received signals envelope brings out different statistical characterizations in different channels.The probability density curve of the simulation model and the theoretical model match quite well,verifying the correctness and validity of the theoretical analysis,providing a theoretical guidance to calculate the data error rate of the meteorological satellite communication. |
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| Keywords: | meteorological satellite channel statistical characterization simulation model |
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