Empirical ARMA outdoor propagation model for amazon cities

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...

Full description

Saved in:
Bibliographic Details
Published in:2013 7th European Conference on Antennas and Propagation (EuCAP) pp. 1347 - 1349
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
Published: IEEE 01-04-2013
Subjects:
Antenna measurements
ARMA model
Autoregressive processes
Cities and towns
Genetic Algorithm
Genetic algorithms
Mathematical model
Outdoor Propagation
Power measurement
Predictive models
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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.
ISBN:1467321877
9781467321877