Dynamic threshold based spectrum detection in cognitive radio systems

  • Authors:
  • Gui-cai Yu;Yu-bin Shao;Hua Long;Guang-xin Yue

  • Affiliations:
  • College of Telecommunication Eng., Beijing Univ. of Posts and Telecommunications, Beijing, P. R. China and Faculty of Information Engineering and Automation, Kunming Univ. of Science and Technolog ...;Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, P. R. China;Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, P. R. China;College of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing, P. R. China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

This paper presents a new spectrum detection algorithm based on dynamic threshold. Spectrum detection schemes based on fixed threshold are sensitive to noise uncertainty, the proposed scheme can improve the antagonism of noise uncertainty, get a good performance of detection while without increasing the computer complexity. However, for schemes which are not sensitive to noise uncertainty, the proposed scheme, in essence, did not improve the detection performance. Computer simulation results show that the proposed algorithm enhances the robust of anti-noise uncertainty and improves detection performance for schemes are sensitive to noise uncertainty in lower signal-to-noise-ratio and large noise uncertainty environments, but not help to schemes which are not sensitive to noise uncertainty.