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AuthorHashemi, Hadi
AuthorFard, Sina Mohammadi
AuthorTaherpour, Abbas
AuthorSedighi, Saeid
AuthorKhattab, Tamer
Available date2022-10-31T19:21:54Z
Publication Date2015
Publication NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ResourceScopus
URIhttp://dx.doi.org/10.1007/978-3-319-24540-9_6
URIhttp://hdl.handle.net/10576/35648
AbstractIn this paper, we address the problem of multiple antenna spectrum sensing in cognitive radios (CRs) when the samples of the primary user (PU) signal as well as samples of noise are assumed to be temporally correlated. We model and formulate this multiple antenna spectrum sensing problem as a hypothesis testing problem. First, we derive the optimum Neyman-Pearson (NP) detector for the scenario in which the channel gains, the PU signal and noise correlation matrices are assumed to be known. Then, we derive the sub-optimum generalized likelihood ratio test (GLRT)-based detector for the case when the channel gains and aforementioned matrices are assumed to be unknown. Approximate analytical expressions for the false-alarm probabilities of the proposed detectors are given. Simulation results show that the proposed detectors outperform some recently-purposed algorithms for multiple antenna spectrum sensing. Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.
SponsorThis publication was made possible by the National Priorities Research Program (NPRP) award NPRP 6-1326-2-532 from the Qatar National Research Fund (QNRF) (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherSpringer Verlag
SubjectAntennas
Cognitive radio
Radio systems
Statistical tests
Wireless networks
TitleDetection of temporally correlated primary user signal with multiple antennas
TypeConference Paper
Pagination66-77
Volume Number156
dc.accessType Abstract Only


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