Threshold optimisation with Bayesian approach in covariance absolute value detection method

ILGIN F. Y.

International Journal of Electronics, cilt.109, sa.10, ss.1680-1694, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 109 Sayı: 10
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1080/00207217.2021.2001050
  • Dergi Adı: International Journal of Electronics
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1680-1694
  • Anahtar Kelimeler: Bayesian cost, cognitive radio, statistical covariance, spectrum sensing, spectrum occupancy
  • Erzincan Binali Yıldırım Üniversitesi Adresli: Evet

Özet

© 2021 Informa UK Limited, trading as Taylor & Francis Group.This study investigate statistical properties of Bayes cost, it proposes new group-based detection models for Cognitive Radios (CR) systems using this statistic. In commonly used spectrum sensing applications, multi-user or multi-antenna detection scenario with different optimisation methods are recommended to increase the detection under high SNRs. In this study, the optimum threshold for Covariance Absolute Value detection methods is determined using the Bayesian Cost. Thus, the detection scenario is given for the proposed method and the results are compared with the traditional Covariance Absolute Value method. Simulations based on random communication signals are presented to verify the methods.