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Experimental detection using cyclostationary feature detectors for cognitive radios

Zolfaghari, M.; Fanan, A.; Mehdawi, M.; Riley, N. G.; Ammar, M.

Authors

M. Ammar

M. Zolfaghari

Abstract

© 2014 IEEE. Signal detection is widely used in many applications. Some examples include Cognitive Radio (CR) and military intelligence. Without guaranteed signal detection, a CR cannot reliably perform its role. Spectrum sensing is currently one of the most challenging problems in cognitive radio design because of various factors such as multi-path fading and signal to noise ratio (SNR). In this paper, we particularly focus on the detection method based on cyclostationary feature detectors (CFD) estimation. The advantage of CFD is its relative robustness against noise uncertainty compared with energy detection methods. The experimental result present in this paper show that the cyclostationary feature-based detection can be robust compared to energy-based technique for low SNR levels.

Book Type Book Chapter
Start Date Nov 25, 2014
Publication Date 2014-11
Journal Telecommunications forum Telfor (TELFOR), 2014 22nd
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Not Peer Reviewed
Pages 272-275
ISBN 9781479961917; 9781479961900
DOI https://doi.org/10.1109/telfor.2014.7034403
Keywords Cognitive radio; Cyclostationary detectors; Power spectral density; Spectral correlation function 2014

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Version
AM - Accepted Manuscript


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