Improved decision thresholds for GLRT-based spectrum sensing schemes

  • Xi Yang*
  • , Shengliang Peng
  • , Kejun Lei
  • , Xiuying Cao
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Due to the difficulties in characterizing the exact statistics' distributions, the decision thresholds obtained so far for the generalized likelihood ratio test (GLRT) detectors, used for the spectrum sensing in cognitive radio (CR), are based on the assumption that the sample size is large while the sample dimension is small. No investigations appear to have been made into the accuracy of these thresholds when used for the cases with moderate and large sample dimensions. In this paper, we reformulate the distributions in the form of an asymptotic series of chi-square distributions. Utilizing the series, the improved decision thresholds are then given by using the generalized inverse expansion of Cornish-Fisher type. Both the theoretical analysis and the numerical simulation verify that the new decision thresholds are more robust to the sample dimension changes.

Original languageEnglish
Title of host publication7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011
DOIs
StatePublished - 2011
Externally publishedYes
Event7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011 - Wuhan, China
Duration: 23 Sep 201125 Sep 2011

Publication series

Name7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011

Conference

Conference7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011
Country/TerritoryChina
CityWuhan
Period23/09/1125/09/11

Keywords

  • Cognitive radio (CR)
  • Decision threshold
  • Generalized likelihood ratio test (GLRT)
  • Spectrum sensing

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