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Open AccessArticle

Analysis of Spectral Sensing Using Angle-Time Cyclostationarity

by Pedro Souza 1,*,†, Vinicius Souza 1,*,† and Luiz F. Silveira 2,*,†
1
Engineering and Technology Department, Federal Rural University of Semi-Arid, Pau dos Ferros 59900-000, RN, Brazil
2
Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59064-741, RN, Brazil
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(19), 4222; https://doi.org/10.3390/s19194222
Received: 2 August 2019 / Revised: 17 September 2019 / Accepted: 24 September 2019 / Published: 28 September 2019
(This article belongs to the Section Physical Sensors)
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. View Full-Text
Keywords: angle-time cyclostationarity; cyclostationarity; cognitive radio; dynamic spectrum access; spectral sensing angle-time cyclostationarity; cyclostationarity; cognitive radio; dynamic spectrum access; spectral sensing
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Souza, P.; Souza, V.; Silveira, L.F. Analysis of Spectral Sensing Using Angle-Time Cyclostationarity. Sensors 2019, 19, 4222.

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