A bispectrum detector for FM modulated wireless microphone signals

Mehmet Bahadir Celebi, Hasari Celebi, Huseyin Arslan, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Detection of primary services is important for the access of unlicensed/secondary services to TV bands in order to increase spectral efficiency. We proposed a weak wireless microphone signal detector based on higher-order spectral (bispectral) analysis. In order to reduce complexity, we estimated the bispectrum through the use of direct method and detection is performed over principal domain. Besides, probability of false alarm is derived for the proposed detector and its performance is investigated in various scenarios.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11
PublisherAssociation for Computing Machinery
ISBN (Print)9781450309127
DOIs
Publication statusPublished - 1 Jan 2011
Event4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11 - Barcelona, Spain
Duration: 26 Oct 201129 Oct 2011

Publication series

NameACM International Conference Proceeding Series

Other

Other4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11
CountrySpain
CityBarcelona
Period26/10/1129/10/11

    Fingerprint

Keywords

  • 802.22
  • Bispectrum
  • Detection
  • Higher-order spectrum
  • Higher-order statistics
  • WRAN
  • Wireless microphone

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Celebi, M. B., Celebi, H., Arslan, H., & Qaraqe, K. (2011). A bispectrum detector for FM modulated wireless microphone signals. In Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11 [45] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2093256.2093301