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

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.