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      • Department of Electrical and Electronics Engineering
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      Spectrum sensing via restricted neyman-pearson approach in the presence of non-Gaussian noise

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      Author
      Turgut, Esma
      Gezici, Sinan
      Date
      2013
      Source Title
      Eurocon 2013
      Publisher
      IEEE
      Pages
      1728 - 1732
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      In this paper, spectrum sensing in cognitive radio systems is studied for non-Gaussian channels in the presence of prior distribution uncertainty. In most practical cases, some amount of prior information about signals of primary users is available to secondary users but that information is never perfect. In order to design optimal spectrum sensing algorithms in such cases, we propose to employ the restricted Neyman-Pearson (NP) approach, which maximizes the average detection probability under constraints on the worst-case detection and false-alarm probabilities. We derive a restricted NP based spectrum sensing algorithm for additive Gaussian mixture noise channels, and compare its performance against the generalized likelihood ratio test (GLRT) and the energy detector. Simulation results show that the proposed spectrum sensing algorithm provides improvements over the other approaches in terms of minimum (worst-case) and/or average detection probabilities. © 2013 IEEE.
      Keywords
      Cognitive radio
      Detection
      Gaussian mixture
      Likelihood ratio
      Neyman-Pearson
      Spectrum sensing
      Detection probabilities
      Gaussian mixture noise
      Gaussian mixtures
      Generalized likelihood-ratio tests
      Likelihood ratios
      Neyman-pearson
      Non Gaussian channels
      Spectrum sensing
      Algorithms
      Cognitive radio
      Error detection
      Probability
      Radio systems
      Telecommunication
      Gaussian noise (electronic)
      Permalink
      http://hdl.handle.net/11693/27897
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/EUROCON.2013.6625210
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      • Department of Electrical and Electronics Engineering 3524
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