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Spectrum sensing based on the singular value of Gaussian random matrix and performance analysis

  • Harbin Institute of Technology

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

Abstract

In this paper, a novel spectrum sensing algorithm called Gaussian singular value (GSV) algorithm is proposed. The method uses the ratio of the largest and the smallest singular values of the received signal matrix to detect the presence or absence of the primary signal. More importantly, GSV algorithm is improved to satisfy the requirements of MIMO situation. In addition, a measure called the credibility of detection (COD) is put forward to evaluate an algorithm's performance comprehensively, and both the probability of detection and false alarm are considered. Simulation results show that the GSV algorithm overcomes the noise uncertainty difficulty while keeping the advantages of the energy detection. The computational results of COD verify its credibility and effectiveness.

Original languageEnglish
Title of host publication2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages499-503
Number of pages5
ISBN (Electronic)9781509003044
DOIs
StatePublished - 26 Sep 2016
Event12th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2016 - Paphos, Cyprus
Duration: 5 Sep 20169 Sep 2016

Publication series

Name2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016

Conference

Conference12th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2016
Country/TerritoryCyprus
CityPaphos
Period5/09/169/09/16

Keywords

  • Credibility of detection
  • Gaussian random matrix
  • MIMO
  • Singular value
  • Spectrum sensing

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