Optimal linear prediction of rain attenuation using the Maseng-Bakken model

C. Mailhes, J. Tourneret, Z. Faraj
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Abstract

The Maseng-Bakken model has shown interesting properties to model rain attenuation for Ka and Q/V broadband satellite systems. This paper derives the optimal rain attenuation predictor based on the Maseng-Bakken model. The optimal predictor is obtained by minimizing the mean square error between the rain attenuation and its estimate. We show that this predictor reduces to a bank of filters whose parameters depend on the rain attenuation power spectral density. Simulation results allow us to appreciate the performance of the resulting rain attenuation prediction that is compared with more traditional strategies.
利用Maseng-Bakken模型对降雨衰减进行最优线性预测
Maseng-Bakken模型在模拟Ka和Q/V宽带卫星系统的降雨衰减方面显示出了有趣的特性。本文基于Maseng-Bakken模型导出了最优降雨衰减预测器。通过最小化雨衰减与其估计值之间的均方误差,得到最优预测器。我们表明,该预测器简化为一组滤波器,其参数取决于雨衰减功率谱密度。与传统策略相比,模拟结果使我们能够欣赏所得降雨衰减预测的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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