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Application of Hybrid ARIMA and Artificial Neural Network Modelling for Electromagnetic Propagation: An Alternative to the Least Squares Method and ITU Recommendation P.1546-5 for Amazon Urbanized Cities
Joint Authors
Cavalcante, Gervásio P. S.
Fraiha Lopes, Ramz L.
Fraiha, Simone G. C.
Lima, Vinicius D.
Gomes, Herminio S.
Source
International Journal of Antennas and Propagation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This study sets out an empirical hybrid autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) model designed to estimate electromagnetic wave propagation in densely forested urban areas.
Received signal power intensity data was acquired through measurement campaigns carried out in the Metropolitan Area of Belém (MAB), in the Brazilian Amazon.
Comparisons were made between estimates from classical least squares (LS) fitting and ITU (International Telecommunication Union) recommendation P.
1546-5.
The results indicate the model is, at least, 44% more precise than every ITU estimate and, in some situations, is at least 11% better than an LS estimate, depending on the respective values of the relative error (RE).
American Psychological Association (APA)
Fraiha Lopes, Ramz L.& Fraiha, Simone G. C.& Gomes, Herminio S.& Lima, Vinicius D.& Cavalcante, Gervásio P. S.. 2020. Application of Hybrid ARIMA and Artificial Neural Network Modelling for Electromagnetic Propagation: An Alternative to the Least Squares Method and ITU Recommendation P.1546-5 for Amazon Urbanized Cities. International Journal of Antennas and Propagation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1168995
Modern Language Association (MLA)
Fraiha Lopes, Ramz L.…[et al.]. Application of Hybrid ARIMA and Artificial Neural Network Modelling for Electromagnetic Propagation: An Alternative to the Least Squares Method and ITU Recommendation P.1546-5 for Amazon Urbanized Cities. International Journal of Antennas and Propagation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1168995
American Medical Association (AMA)
Fraiha Lopes, Ramz L.& Fraiha, Simone G. C.& Gomes, Herminio S.& Lima, Vinicius D.& Cavalcante, Gervásio P. S.. Application of Hybrid ARIMA and Artificial Neural Network Modelling for Electromagnetic Propagation: An Alternative to the Least Squares Method and ITU Recommendation P.1546-5 for Amazon Urbanized Cities. International Journal of Antennas and Propagation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1168995
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168995