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- W2136166406 abstract "In this paper, we propose a class of spectrum-sensing schemes for cognitive radio with receive diversity. By employing the generalized likelihood ratio test (GLRT) in the detectors on the antenna branches and exploiting a nonlinear diversity-combining strategy, the proposed scheme exhibits better performance than conventional schemes in various fading and noise environments. Exact expressions of the detection and false-alarm probabilities of the proposed scheme are derived in nonfading and Nakagami fading channels with Gaussian noise. Through computer simulations, it is confirmed that the proposed scheme provides a significant performance gain over conventional schemes in impulsive noise environments." @default.
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- W2136166406 date "2010-11-01" @default.
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- W2136166406 title "A Class of Spectrum-Sensing Schemes for Cognitive Radio Under Impulsive Noise Circumstances: Structure and Performance in Nonfading and Fading Environments" @default.
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- W2136166406 doi "https://doi.org/10.1109/tvt.2010.2068066" @default.
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