Channel Energy Statistics Learning in Compressive Spectrum Sensing.

IEEE Transactions on Wireless Communications(2018)

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摘要
Spectrum sensing is a proactive way in cognitive radio systems to achieve dynamic spectrum access; and compressive spectrum sensing (CSS) techniques alleviate the demand for high-speed sampling in wideband spectrum sensing. Most existing literature discusses Neyman-Pearson channel energy detection and threshold adaption schemes to achieve an optimal performance of detection in a conventional non-c...
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Sensors,Cascading style sheets,Adaptation models,Wideband,Wireless communication,Discrete Fourier transforms,Matching pursuit algorithms
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