Analysis of Spectral Sensing Using Angle-Time Cyclostationarity

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 nonl...

Full description

Saved in:
Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-09, Vol.19 (19), p.4222
Main Authors: Souza, Pedro, Souza, Vinicius, Silveira, Luiz F.
Format: Article
Language:English
Subjects:
angle-time cyclostationarity
Binary phase shift keying
cognitive radio
Communication channels
cyclostationarity
dynamic spectrum access
Expected values
Fourier transforms
Noise
Radio equipment
Signal processing
spectral sensing
Spectrum allocation
Wireless communications
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19194222