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Analysis of Spectral Sensing Using Angle-Time Cyclostationarity.
Souza, Pedro; Souza, Vinicius; Silveira, Luiz F.
Afiliação
  • Souza P; Engineering and Technology Department, Federal Rural University of Semi-Arid, Pau dos Ferros 59900-000, RN, Brazil. pedro.souza@ufersa.edu.br.
  • Souza V; Engineering and Technology Department, Federal Rural University of Semi-Arid, Pau dos Ferros 59900-000, RN, Brazil. viniciussamuel@ufersa.edu.br.
  • Silveira LF; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59064-741, RN, Brazil. lfelipe@dca.ufrn.br.
Sensors (Basel) ; 19(19)2019 Sep 28.
Article em En | MEDLINE | ID: mdl-31569389
This work presents a novel spectral sensing method for the detection of signals presenting nonlinear phase variation over time. The introduced method is based on the angle-time cyclostationarity theory, which applies transformations to the signal to be sensed in order to mitigate the effects of nonlinear phase variation. The architecture is employed for sensing binary phase shift keying (BPSK) signals, being also compared with time cyclostationarity. The obtained simulation results clearly demonstrate the efficiency of the proposed approach, while presenting improved performance in terms of the detection rate of primary users increased by about 8 dB.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça