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AuthorBadawy, Ahmed
AuthorKhattab, Tamer
Available date2022-10-31T19:21:53Z
Publication Date2016
Publication NameIEEE Wireless Communications and Networking Conference, WCNC
ResourceScopus
URIhttp://dx.doi.org/10.1109/WCNC.2014.6951976
URIhttp://hdl.handle.net/10576/35630
AbstractSpectrum sensing is a key task in any cognitive radio network. On the other hand, a literature survey in this topic shows a lack of implementation and testbeds for spectrum sensing techniques. In this paper, we plot the ROC curves for the cyclostationary detection through an extensive Monte Carlo simulation for different detection times. Then we implement the cyclostationary feature detection algorithm on an FPGA based WARP kit. We compare its implementation complexity to the conventional energy detection technique as well as our newly developed and implemented quickest detection algorithm. We then propose a peak search based FAM algorithm that speeds up the detection time. 2014 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectcyclostationary detection
energy detection
Hardware implementation
spectrum sensing
TitleA novel peak search & save cyclostationary feature detection algorithm
TypeConference Paper
Pagination253-258
dc.accessType Abstract Only


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