Reference : Detection of Temporally Correlated Primary User Signal with Multiple Antennas
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/47613
Detection of Temporally Correlated Primary User Signal with Multiple Antennas
English
Hashemi, Hadi []
Mohammadi Fard, Sina []
Taherpour, Abbas []
Sedighi, Saeid mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Khattab, Tamer []
2015
International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM)
Yes
Cognitive Radio Oriented Wireless Networks (CROWNCOM)
from 21-04-2015 to 23-04-2015
[en] spectrum sensing ; cognitive radio
[en] In 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.
http://hdl.handle.net/10993/47613
10.1007/978-3-319-24540-9_6

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
DetectionofTemporallyCorrelatedPrimaryUserSignalwithMultipleAntennas.pdfPublisher postprint397.42 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.