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dc.contributor.authorRodas, Federico
dc.contributor.authorParedes-Calderón, Manolo
dc.contributor.authorGiménez de Ory, Elena (1)
dc.contributor.authorGarzón, Diego
dc.contributor.authorAyala, Emilia
dc.date2020
dc.date.accessioned2020-07-30T10:24:28Z
dc.date.available2020-07-30T10:24:28Z
dc.identifier.citationRodas F., Paredes M., Gimenez E., Garzón D., Ayala E. (2020) Design of a Non-deterministic Model for a Propagation of VHF Radio Signal in the Ecuadorian Jungle. In: Botto-Tobar M., Zambrano Vizuete M., Torres-Carrión P., Montes León S., Pizarro Vásquez G., Durakovic B. (eds) Applied Technologies. ICAT 2019. Communications in Computer and Information Science, vol 1195. Springer, Cham.es_ES
dc.identifier.isbn9783030425319
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10272
dc.description.abstractThis paper develops a propagation model of electromagnetic signals emitted at frequencies of 20 and 40 MHz for the Ecuadorian jungle. The expected results of this research will be applied to produce a complete coverage map for wireless communications technologies, which will optimize the radio spectrum in operation carried out by the Armed Forces in Ecuadorian border jungle. The final expression found is an adjustment function that relates the Receiving Power (PRX) to factors that determine the geometry of the Fresnell Zone (Conectivity). The resulting model of the research improves the discrepancy between the simulated power (PRL) in commercial software and a sample of measured wireless transmissions in situ. The analysis was based on the results and methodology presented by Longley-Rice. It was determined the non-normality of the discrepancy between the losses (LlR) calculated by Longley Rice Model (LMR) and the data obtained in the field. To solve this point, correction coefficients were added on the expression of LMR. Subsequently, the mathematical expression was linearized to implement multivariate linear adjustment techniques. Alternative formulations to the Linear Regression model were sought and their goodness of fit was compared; all these techniques are introduced theatrically. To conclude, the study includes a Kolmogorov Test to grant normality and goodness of fit. Mathematical modelling software such as Matlab, R and SPSS were used for the formulation and numerical analysis. Finally, we found a model that have a R2 of 99.995%.es_ES
dc.language.isoenges_ES
dc.publisherCommunications in Computer and Information Sciencees_ES
dc.relation.urihttps://link.springer.com/chapter/10.1007/978-3-030-42531-9_8#citeases_ES
dc.rightsrestrictedAccesses_ES
dc.subjectmathematical modeles_ES
dc.subjectlongley ricees_ES
dc.subjectpropagation modeles_ES
dc.subjectScopus(2)es_ES
dc.titleDesign of a Non-deterministic Model for a Propagation of VHF Radio Signal in the Ecuadorian Junglees_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-030-42531-9_8


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