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AuthorSedighi, Saeid
AuthorTaherpour, Abbas
AuthorGazor, Saeed
AuthorKhattab, Tamer
Available date2022-11-01T09:01:33Z
Publication Date2015
Publication Name2015 IEEE Global Communications Conference, GLOBECOM 2015
ResourceScopus
Resource2-s2.0-84964828841
URIhttp://dx.doi.org/10.1109/GLOCOM.2014.7417100
URIhttp://hdl.handle.net/10576/35703
AbstractIn this paper, we propose a new detector for multiantenna spectrum sensing in cognitive radios (CR) by exploiting the Separating Function Estimation Test (SFET) framework. Specifically, we consider a blind scenario for multiantenna spectrum sensing in which both the channel gains and noise variance are assumed to be unknown. For such a scenario, we find an appropriate Separating Function (SF) whose Maximum Likelihood Estimate (MLE) leads us to a SFET-based detector which uses the second order moments of the eigenvalues of the Sample Covariance Matrix (SCM). We also find closed-form expressions for the detection and false-alarm probabilities of the proposed detector. The performance of the proposed detector asymptotically tends to that of the Uniformly Most Powerful Unbiased (UMPU) detector as the number of independent and identically distributed observations increases. In addition, simulation results show that the proposed detector outperforms the state-of-art eigenvalue- based detectors because of using the second order moments of the SCM eigenvalues. 2015 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAntennas
Cognitive radio
Covariance matrix
Maximum likelihood
Maximum likelihood estimation
Closed-form expression
False alarm probability
Maximum likelihood estimate
Multi antenna spectrum sensing
Sample covariance matrix
Second order moment
Separating function estimation tests (SFET)
Separating functions
Eigenvalues and eigenfunctions
TitleSFET-based multiple antenna spectrum sensing using the second order moments of eigenvalues
TypeConference Paper
dc.accessType Abstract Only


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