Reference : Spectrum Sensing of Correlated Subbands With Colored Noise in Cognitive Radios
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Spectrum Sensing of Correlated Subbands With Colored Noise in Cognitive Radios
Pourgharehkhan, Zahra []
Sedighi, Saeid mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Taherpour, Abbas []
Murt, Uysal []
IEEE Wireless Communications and Networking Conference (WCNC)
IEEE Wireless Communications and Networking Conference (WCNC)
from 01-04-2012 to 04-04-2012
[en] spectrum sensing ; cognitive radio
[en] In this paper, we consider the problem of wideband spectrum sensing by using the correlation among the observation samples in different subbands. The Primary User (PU) signal samples in occupied subbands are assumed to be zero-mean correlated Gaussian random variables and additive noise is modeled as colored zero-mean Gaussian random variables independent of the PU signal. It is also assumed that there is at least a minimum given number of subbands that are vacant of PU signals. First we derive the optimal detector and the Generalized Likelihood Ratio (GLR) detector for the case that the covariance matrix of PUs signal samples is unknown and the noise variance in the different subbands is known. Then, we propose an iterative algorithm for GLR test when both the covariance matrix of the PUs signal samples and the noise variances in the different subbands, are unknown. For analytical performance evaluation, we derive some closed-form expressions for detection and false alarm probabilities of the proposed detectors in low Signal to Noise Ratio (SNR) regime. The simulation results are further presented to compare the performance of the proposed detectors.

File(s) associated to this reference

Fulltext file(s):

Limited access
06213922.pdfPublisher postprint500.96 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.