Cyclostationary analysis method of spectrum sensing for Cognitive radio

The most challenging problem in Cognitive radio is the detection of unused frequency bands and exploit them opportunistically for spectrum access. Cognitive radios must be able to efficiently detect the primary users even in low signal-to-noise ratio (SNR) condition and in fading environments. These...

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Bibliographic Details
Published in2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE) pp. 1 - 5
Main Authors Prithiviraj, V., Sarankumar, B., Kalaiyarasan, A., Chandru, P. P., Singh, N. N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2011
Subjects
Cognitive radio
Correlation
Cyclic Spectrum
Cyclostationary Feature Extraction
Cyclostationary Signature
Feature extraction
OFDM
Sensors
Signal to noise ratio
Spectrum Sensing
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Summary:The most challenging problem in Cognitive radio is the detection of unused frequency bands and exploit them opportunistically for spectrum access. Cognitive radios must be able to efficiently detect the primary users even in low signal-to-noise ratio (SNR) condition and in fading environments. These difficulties can be overcome by exploiting the cyclostationary signatures exhibited by communications signal. Cyclostationary signatures are embedded in the physical properties of communications signal and they can be used to distinguish between the primary user and secondary user. In this paper, we investigate the problem of detecting vacant spectral bands using cyclostationary feature extraction method. Approaches for the detection of cyclostationary signatures are outlined and the simulation results are presented.
ISBN:9781457707865
1457707861
DOI:10.1109/WIRELESSVITAE.2011.5940821