Rain Attenuation Scaling in South Korea: Experimental Results and Artificial Neural Network
Autor: | Abdus Samad, Dong-You Choi, Feyisa Debo Diba |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Artificial neural network
polarization scaling TK7800-8360 Computer Networks and Communications terrestrial link Attenuation received signal level slant link frequency scaling Polarization (waves) horizontal polarization scaling Signal strength Hardware and Architecture Control and Systems Engineering vertical polarization scaling Signal Processing International telecommunication Environmental science Electrical and Electronic Engineering Electronics Frequency scaling Scaling artificial neural network Remote sensing Communication channel |
Zdroj: | Electronics, Vol 10, Iss 2030, p 2030 (2021) Electronics Volume 10 Issue 16 |
ISSN: | 2079-9292 |
Popis: | Scaling rain attenuation parameters will significantly benefit the quick monitoring of rain attenuation in a particular channel with previously known results or in situ setup attenuation measurements. Most of the rain attenuation scaling techniques have been derived for slant links. In this study, we also applied frequency and polarization scaling techniques for terrestrial link applications. We collected real measured datasets from research paper publications and examined those datasets using International Telecommunication Union-Radiocommunication sector (ITU-R) models (P.530-17, P.618-13). Our analyzed results show that existing long-term frequency and polarization scaling rain attenuation models (ITU-R P.618-13 for slant links and ITU-R P.530-17 for terrestrial links) show reduced performance for frequency and polarization scaling measured locations in South Korea. Hence, we proposed a new scaling technique using artificial neural networks from the measured rain attenuation data of slant and terrestrial links in South Korea. The experimental results confirm that the proposed Artificial Neural Network (ANN)-based scaling model shows satisfactory performance to predict attenuation for frequency and vertical polarization scaling. |
Databáze: | OpenAIRE |
Externí odkaz: |