Localização em Ambientes Internos Baseada em Aprendizado Supervisionado Utilizando Estações de Rádio FM

  • David Ferreira Universidade Federal do Amazonas
  • Waldir da Silva Júnior Universidade Federal do Amazonas
  • Celso Carvalho Universidade Federal do Amazonas


Para a localização de dispositivos móveis em redes sem fio, deve-se instalar três ou mais dispositivos fixos, cujos sinais transmitidos são utilizados como parâmetros de localização. O problema desta abordagem é o aumento dos custos energético e monetário. Assim, o objetivo deste trabalho é propor um método de localização utilizando estações de rádio FM com vistas ao baixo custo e alta acurácia. Foram realizados testes em ambiente doméstico com aproximadamente 30 m 2 e 15 pontos de referência. Como resultados dos testes, o método proposto QA-PCA-kNN destacou-se ao utilizar 6 características dos sinais FM, provendo a localização com erro médio de 0,0688 metros e desvio padrão de 0,2536 e, apresentando acurácia de 86,80%.


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FERREIRA, David; DA SILVA JÚNIOR, Waldir; CARVALHO, Celso. Localização em Ambientes Internos Baseada em Aprendizado Supervisionado Utilizando Estações de Rádio FM. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 8. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 101-114. DOI: https://doi.org/10.5753/erigo.2020.13865.