The main factors influencing on slant path rain attenuation are summarized.
本文综述了影响星—地路径雨致衰减的主要因素。
It proved that the primary rain attenuation influence factor is the minute rainfall rate of 0.01% time.
这同时也说明了，影响降雨衰减最主要的因素是0.01%时间的分钟降雨率。
Using the experimental data obtained in Beijing, the characteristics of slant path rain attenuation in Beijing area are analysed.
并利用在北京获得的实测数据，对北京地区星—地雨致衰减的特点进行了分析。
Based on the mechanism of rain attenuation, the special attenuation by rain is calculated by the equivalent dielectric permittivity model.
基于降雨衰减机理，利用雨介质的等效介电常数模型计算了降雨的特征衰减。
The research result and the rain attenuation coefficient thus obtained provide valuable reference not only in WLAN and immobile wireless accessibility but also in mobile communication.
研究得出的降雨衰耗和降雨衰减系数值，不仅对WLAN的固定无线接入，而且对移动通信都具有参考价值。
Considering the nonlinear affects of various parameters on rain attenuation, we propose a new rain attenuation model based on evolutionary neural network and compare it with the ITU-R model.
本文在考虑多个参数对雨衰减非线性影响的基础上，建立了基于进化神经网络的雨衰减模型，并与ITU - R模型进行了比较。
Considering the nonlinear affects of various parameters on rain attenuation, we propose a new rain attenuation model based on evolutionary neural network and compare it with the ITU-R model.
本文在考虑多个参数对雨衰减非线性影响的基础上，建立了基于进化神经网络的雨衰减模型，并与ITU - R模型进行了比较。
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