Fast Cycle Frequency Domain Feature Detection for Cognitive Radio Systems

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dc.creatorDa, Shan
dc.creatorXiaoying, Gan
dc.creatorHsiao-Hwa, Chen
dc.creatorLiang, Qian
dc.date2009-03-06
dc.date.accessioned2026-07-07T12:49:51Z
dc.date.available2026-07-07T12:49:51Z
dc.descriptionIn cognitive radio systems, one of the main requirements is to detect the presence of the primary users' transmission, especially in weak signal cases. Cyclostationary detection is always used to solve weak signal detection, however, the computational complexity prevents it from wide usage. In this paper, a fast cycle frequency domain feature detection algorithm has been proposed, in which only feature frequency with significant cyclic signature is considered for a certain modulation mode. Simulation results show that the proposed algorithm has remarkable performance gain than energy detection when supporting real-time detection with low computational complexity.
dc.description4 pages, 3 figures, submitted to Crowncom 2009
dc.identifierhttps://arxiv.org/abs/0903.1183
dc.identifierhttp://arxiv.org/abs/0903.1183
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/222516
dc.subjectInformation Theory
dc.subject94A05, 94A13
dc.titleFast Cycle Frequency Domain Feature Detection for Cognitive Radio Systems
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