Empirical ARMA outdoor propagation model for amazon cities

In this work is proposed an empirical Autoregressive Moving-Average (ARMA) model for signal strength prediction in outdoor environments. A Genetic Algorithm (GA) was employed to calibrate the model (finding coefficients), thus, allowing future improvements without major changes in the program source...

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Bibliographic Details
Main Authors: Fraiha Lopes, Ramz L., Costa, A. B., Braga, A. S., Gomes, H. S., Fraiha, S. G. C., Rodrigues, J. C., Araujo, J. P. L., Castro, B. S. L., Cavalcante, G. P. S.
Format: Conference Proceeding
Language:English
Subjects:
Antenna measurements
ARMA model
Autoregressive processes
Cities and towns
Genetic Algorithm
Genetic algorithms
Mathematical model
Outdoor Propagation
Power measurement
Predictive models
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Summary:In this work is proposed an empirical Autoregressive Moving-Average (ARMA) model for signal strength prediction in outdoor environments. A Genetic Algorithm (GA) was employed to calibrate the model (finding coefficients), thus, allowing future improvements without major changes in the program source code.