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Adaptive spectrum sensing of wireless microphones with noise uncertainty
2011
2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications
Many spectrum sensing techniques have been proposed in the literature to enable cognitive radio technology. However, their reliability when primary users have very low signal-to-noise ratio (SNR) in the presence of noise uncertainty remains a challenging problem. This paper focuses on detecting wireless microphone signals in the presence of noise uncertainty. Power Spectrum Density (PSD)-based sensing has been proposed in the literature as the best sensing algorithm for wireless microphones.
doi:10.1109/pimrc.2011.6140000
dblp:conf/pimrc/HassanN11
fatcat:l6hhenthwvdrxo6k353p65w6q4