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Accurate performance analysis of hadamard ratio test for robust spectrum sensing

Lei Huang, Yuhang Xiao, Hing Cheung So, Jun Fang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Hadamard ratio test is a well-known approach to robust signal detection in multivariate analysis. Recently, it has been exploited for robust spectrum sensing in cognitive radio, but its detection performance is not yet completely analyzed. This work is devoted to accurate detection performance analysis of the Hadamard ratio method for robust spectrum sensing. By computing the first and second exact negative moments for the signal-presence hypothesis along with employing the Beta distribution approximation, we derive accurate analytic formulae for detection probability. This enables us to theoretically evaluate the detection behavior of the Hadamard ratio test. Numerical results are presented to validate our theoretical findings.
Original languageEnglish
Article number6905795
Pages (from-to)750-758
JournalIEEE Transactions on Wireless Communications
Volume14
Issue number2
Online published19 Sept 2014
DOIs
Publication statusPublished - Feb 2015

Research Keywords

  • Beta distribution
  • Cognitive radio
  • generalized likelihood ratio test
  • multiple antennas
  • robustness
  • spectrum sensing

RGC Funding Information

  • RGC-funded

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