Predição de perda de percurso em veículos aéreos não tripulados utilizando uma rede neural artificial

Matheus Henrique de Abreu Miranda, João Paulo Sales Henriques Lima, Alvaro Augusto Machado de Medeiros, Pedro Henrique Cândido

DOI: 10.14209/sbrt.2019.1570557378

Evento: XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2019)

Keywords: Neural network Path loss UAV

Abstract

This work aims to propose a new model of artificial neural network in order to estimate the path loss based on power measurements conducted by an unmanned aerial vehicle. As an evaluation intent, the neural network is compared to the Log-distance model for verifying which model performs better. Results indicate the proposed neural network has a minor mean squared error.

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