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• W2091298493 abstract "In this paper, we present a new spectrum sensing technique for cognitive radios based on discriminant analysis called spectrum discriminator. The presented technique uses the knowledge of the noise uncertainty and a probabilistic validation to overcome the limitations of the discriminant analysis. A comparative study between the proposed technique and the maximum-minimum eigenvalue detection has been performed based on two performance metrics: the probability of false alarm and the probability of detection. The spectrum discriminator has been further developed to a peel-off technique where all primary users can be detected. The performance of the spectrum discriminator and the peel-off technique has been tested on simulations and experimentally verified. The comparative study is based on simulations as well as measurements." @default.
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• W2091298493 date "2013-11-01" @default.
• W2091298493 modified "2023-10-14" @default.
• W2091298493 title "Blind Spectrum Sensing for Cognitive Radios Using Discriminant Analysis: A Novel Approach" @default.
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• W2091298493 doi "https://doi.org/10.1109/tim.2013.2267456" @default.
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