NDLI: Multiantenna detection under noise uncertainty and primary user's spatial structure

Content Provider	IEEE Xplore Digital Library
Author	Ramirez, D. Vazquez-Vilar, G. Lopez-Valcarce, R. Via, J. Santamaria, I.
Copyright Year	2011
Description	Author affiliation: Communications Engineering Dept., University of Cantabria, Santander, Spain (Ramirez, D.; Via, J.; Santamaria, I.) \|\| Dept. Signal Theory and Communications, University of Vigo, Spain (Vazquez-Vilar, G.; Lopez-Valcarce, R.)
Abstract	Spectrum sensing is a challenging key component of the Cognitive Radio paradigm, since primary signals must be detected in the face of noise uncertainty and at signal-to-noise ratios (SNRs) well below decodability levels. Multiantenna detectors exploit spatial independence of receiver thermal noise to boost detection performance and robustness. Here, we study the problem of detecting Gaussian signals with unknown rank-P spatial covariance matrix when the noise at the receiver is independent across the antennas and with unknown power. A generic diagonal noise covariance matrix is allowed to model calibration uncertainties in the different antenna frontends. We derive the generalized likelihood ratio test (GLRT) for this detection problem. Although, in general, the corresponding statistic must be obtained by numerical means, in the low SNR regime the GLRT does admit a closed form. Numerical simulations show that the proposed asymptotic detector offers good performance even for moderate SNR values.
Starting Page	2948
Ending Page	2951
File Size	113475
Page Count	4
File Format	PDF
ISBN	9781457705380
ISSN	15206149
e-ISBN	9781457705397
e-ISBN	9781457705373
DOI	10.1109/ICASSP.2011.5946275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-22
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Signal to noise ratio Covariance matrix Cognitive radio Maximum likelihood estimation maximum likelihood (ML) estimation Cognitive radio (CR) spectrum sensing generalized likelihood ratio test (GLRT)
Content Type	Text
Resource Type	Article

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