用于卫星链路应用的云衰减模型的气候基础和分析

M. O. Adewusi
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引用次数: 0

摘要

不断要求以较低的成本获得更大的带宽,导致卫星信号传输频率的增加。这明显伴随着成比例的水成物衰减。因此,有必要定期评估各气候区的云衰减影响。本报告是在尼日利亚西南部热带Ota (6.7oN, 3.23oE)站进行的实验性通信研究成果之一。台站频谱分析仪测量其接收信标的总衰减在12.245 GHz和仰角59.90到位于28.20东经的Astra卫星。日最高、最低和平均气温;雨量、风速和风向以及这些天气参数的发生时间也被测量。然后分析了降雨和非降雨条件下的辐射数据,包括探空数据,从每分钟测量的总衰减中获得云衰减的贡献。所使用的各种数据的测量周期从4年到58年不等。输出用于计算现有云模式和综合站数据的站点累积分布。对两种累积分布的统计分析表明,实测数据与现有模型的预测值之间存在较大差异。为此,开发了一种云衰减计算算法及其模拟程序,并利用该算法推导了一种新的热带云衰减模型。气候资料和分析的结果被用来证明新的云衰减模型得到了很好的证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climatic Bases and Analysis of Proposed Cloud Attenuation Model for Satellite Links Application
Consistently required lager bandwidth at lower cost induce increases in magnitude of transmission frequency for satellite signal. This is phenomenally accompanied by proportional hydrometeors attenuation. Hence, there is need to evaluate cloud attenuation impact in every climatic region periodically. This report is one of the outcomes of experimental communication research carried out at tropical Ota (6.7oN, 3.23oE) station, southwest, Nigeria. The station spectrum analyzer measures its received beacons total attenuation at 12.245 GHz and elevation angle 59.9o to Astra satellites located at 28.2oE. Daily maximum, minimum and mean temperatures; rain amount, wind speed and direction as well as time of occurrence of each of these weather parameters were also measured. Then the radiometric data including acquired radiosonde data were analysed under rainy and non-rainy conditions, to obtain cloud attenuation contribution from the total attenuation measured per minute. The various data used range in measurement periods between four and fifty-eight years. The outputs were used to compute the station cumulative distributions for the existing cloud models and for the integrated station’s data. Statistical analysis comparing the two cumulative distributions show a high difference between the measured data and existing models’ predicted values. Hence a cloud attenuation computation algorithm and its simulation program were developed and used to derive a new tropical cloud attenuation model. The results of climatic data and analysis were used to justify the well corroborated new cloud attenuation model.
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