Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region

Autor: Ramz L. Fraiha Lopes, Simone G. C. Fraiha, Vinicius D. Lima, Herminio S. Gomes, Gervásio P. S. Cavalcante
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Antennas and Propagation, Vol 2020 (2020)
Druh dokumentu: article
ISSN: 1687-5869
1687-5877
DOI: 10.1155/2020/2671746
Popis: This study explores the use of a hybrid Autoregressive Integrated Moving Average (ARIMA) and Neural Network modelling for estimates of the electric field along vertical paths (buildings) close to Digital Television (DTV) transmitters. The work was carried out in Belém city, one of the most urbanized cities in the Brazilian Amazon and includes a case study of the application of this modelling within the subscenarios found in Belém. Its results were compared with the ITU recommendations P. 1546-5 and proved to be better in every subscenario analysed. In the worst case, the estimate of the model was approximately 65% better than that of the ITU. We also compared this modelling with a classic modelling technique: the Least Squares (LS) method. In most situations, the hybrid model achieved better results than the LS.
Databáze: Directory of Open Access Journals
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