Experimental detection using cyclostationary feature detectors for cognitive radios

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

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.

Citation

Zolfaghari, M., Fanan, A., Mehdawi, M., Riley, N. G., & Ammar, M. (2014, November). Experimental detection using cyclostationary feature detectors for cognitive radios. Presented at 2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers, Serbia, Belgrade

• Conference Name: 2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers
• Start Date: Nov 25, 2014
• End Date: Nov 27, 2014
• Acceptance Date: Nov 1, 2014
• Publication Date: 2014-11
• Deposit Date: May 27, 2016
• Publicly Available Date: May 27, 2016
• 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• Peer Reviewed: Not Peer Reviewed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
• Public URL: https://hull-repository.worktribe.com/output/438834
• Contract Date: May 27, 2016