基于深度学习的降雨衰减预测方法研究

2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM) Pub Date : 2022-08-29 DOI:10.1109/iWEM52897.2022.9993474

Yuji Komatsuya, T. Imai, M. Hirose

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引用次数: 0

摘要

近年来，无线系统中使用的频率显著提高，降雨衰减预测的重要性日益增加。提出了一种基于深度学习的降雨衰减预测方法，该方法输入降雨速率和路径距离，并进行预测。结果表明，我们认为这个建议是有希望的。

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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A Study of Rain Attenuation Prediction Method by Deep Learning

In recent years, the frequency used in wireless systems has got higher significantly, and the importance of predicting rainfall attenuation has increased. We proposed a rain attenuation prediction method by deep learning which inputs rainfall rate and path distance, and conducted prediction. As the results, we thought this proposal is promising.

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2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)

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