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ICASSP
2011
IEEE

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

8 years 7 months ago
Multiantenna detection under noise uncertainty and primary user's spatial structure
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 a good performance even for moderate ...
David Ramírez, Gonzalo Vazquez-Vilar, Rober
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors David Ramírez, Gonzalo Vazquez-Vilar, Roberto López-Valcarce, Javier Vía, Ignacio Santamaría
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