Spectrum sensing of correlated subbands with colored noise in cognitive radios

Name: Spectrum sensing of correlated subbands with colored noise in cognitive radios
Author: Pourgharehkhan, Z., Sedighi, S., Taherpour, A., Uysal, Murat

İsim	Spectrum sensing of correlated subbands with colored noise in cognitive radios
Yazar	Pourgharehkhan, Z., Sedighi, S., Taherpour, A., Uysal, Murat
Basım Tarihi:	2012
Basım Yeri	- IEEE
Konu	Gaussian processes, Cognitive radio, Covariance matrices, Signal detection, Signal sampling
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4673-0436-8
Kayıt Numarası	c9771eb9-3a68-4f39-ac53-360058480de4
Lokasyon	Electrical & Electronics Engineering
Tarih	2012
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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.
DOI	10.1109/WCNC.2012.6213922

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Spectrum sensing of correlated subbands with colored noise in cognitive radios

Yazar Pourgharehkhan, Z., Sedighi, S., Taherpour, A., Uysal, Murat

Basım Tarihi 2012

Basım Yeri - IEEE

Konu Gaussian processes, Cognitive radio, Covariance matrices, Signal detection, Signal sampling

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4673-0436-8

Kayıt Numarası c9771eb9-3a68-4f39-ac53-360058480de4

Lokasyon Electrical & Electronics Engineering

Tarih 2012

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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.

DOI 10.1109/WCNC.2012.6213922