Abstract
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.
Highlights
Is article sets out a hybrid modelling system to estimate the propagation of the electric field along vertical paths close to transmitter towers that operate around 600 MHz
E system used in this work is a hybrid Autoregressive Integrated Moving Average (ARIMA) and neural network model. is type of model is well known for its ability to address problems that have both linear and nonlinear components in their mathematical formulation, since single ARIMA models are widely used to represent linear problems and neural network models can represent nonlinear problems satisfactorily. e purpose of this hybrid approach is to use the advantages of both modelling techniques to tackle a single problem
We took account of the polynomial tread line and estimated it by means of the linear least squares method, which resulted in T3. erefore, the series that must be estimated by the ARIMA model is represented by Y3: Y3 L3 − T3
Summary
Is article sets out a hybrid modelling system to estimate the propagation of the electric field along vertical paths close to transmitter towers that operate around 600 MHz. Kuzniar et al [5] conduct a study of the biological effects of short-term exposure to NIR with three frequencies (50 Hz, 2.1 GHz, and 5.8 GHz) in mammalian cells. International Journal of Antennas and Propagation ere have been suspicions about the health effects of continuous NIR exposure on these people which have arisen because of the uncertainty of the results obtained so far. Neural network modelling is a technique inspired by how the human brain operates, with regard to the synaptic connections of its neurons. It is widely used (either alone or combined with other techniques) in many areas, including for the solution of electromagnetic propagation problems
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