Multiantenna spectrum sensing for cognitive radio: overcoming noise uncertainty
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hdl:2117/10915
Tipus de documentText en actes de congrés
Data publicació2010
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Spectrum sensing is a key ingredient of the dynamic
spectrum access paradigm, but it needs powerful detectors
operating at SNRs well below the decodability levels of primary
signals. Noise uncertainty poses a significant challenge to the
development of such schemes, requiring some degree of diversity
(spatial, temporal, or in distribution) for identifiability of the
noise level. Multiantenna detectors exploit spatial independence
of receiver thermal noise. We review this class of schemes and
propose a novel detector trading off performance and complexity.
However, most of these methods assume that the noise power,
though unknown, is the same at all antennas. As it turns out,
calibration errors have a substantial impact on these detectors.
Another novel detector is proposed, based on an approximation
to the Generalized Likelihood Ratio, outperforming previous
schemes for uncalibrated multiantenna receivers.
CitacióLópez, R.; Vázquez- Vilar, G.; Sala, J. Multiantenna spectrum sensing for cognitive radio: overcoming noise uncertainty. A: IAPR Workshop on Cognitive Information Processing. "2ond IAPR Workshop on Cognitive Information Processing". Elba: 2010, p. 310-315.
Versió de l'editorhttp://www.conference.iet.unipi.it/cip2010/index.php
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