The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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A Spectral Correlation Based Detection Method for Spectrum Sensing in Cognitive Radio

  • 한저 (인하대학교 정보통신대학원 무선전송연구실) ;
  • 송정익 (인하대학교 정보통신대학원 무선전송연구실) ;
  • 손성환 (인하대학교 정보통신대학원 무선전송연구실) ;
  • 김재명 (인하대학교 정보통신대학원 무선전송연구실)
  • Published : 2006.07.01
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Abstract

Cognitive radio, which is designed to dynamically adapt its transmission to the environments, is believed to be one of the fundamental techniques for future spectrum utilization. As the first step of cognitive radio, spectrum sensing is treated as the most important technique, through which cognition is well explained. In this paper, we propose a spectral correlation based detection method for spectrum sensing. An unlicensed secondary user system operating in TV broadcast bands is taken as an example. Based on the cyclostationarity of communication signals, spectral correlation function is used to minimize the effect of random noise and interference. Energy measurement and peak detection based criteria are proposed. Simulation results show that the proposed detection method outperforms the energy detection and is more suitable for spectrum sensing in cognitive radios.

Keywords

References

  1. R. W. Broderson, A. Wolisz, D. Cabric, S. M. Mishra, and D. Willkomm. (2004) White paper: CORVUS: A cognitive radio approach for usage of virtual unlicensed spectrum [online]. Available: http://bwrc.eecs. berkeley. edu/rsearch/MCMA_Docs/CR_White_paper_finall.pdf
  2. FCC, Spectrum Policy Task Force Report, ET Docket NO. 02-135, Nov 02,2002
  3. I. J. Mitola, 'Software radios: Surey, critical evaluation and future directions', IEEE Aerosp. Electron. Syst. Mag, Vol. 8, pp. 25-36. Apr. 1993
  4. S. Haykin, 'Cognitive radio: brain-empowered wireless communications ', IEEE Journal Selected Areas in Communications, Vol. 23, no. 2, pp. 201-220, 2005 https://doi.org/10.1109/JSAC.2004.839380
  5. FCC, 'FCC 04-113,' May 2004. [Online]. Available: http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-04-113A1.pdf
  6. H. L. Van Trees, 'Detection, Estimation and Modulation Theory Part 1 ', New York: Wiley, 1971
  7. H.Urkowitz, 'Energy detection of unknown deterministic signals ', Proc. IEEE, Vol. 55, pp.523-531, 1967 https://doi.org/10.1109/PROC.1967.5573
  8. W. A Gardner, 'Exploitation of spectral redundancy in cyclostationarity signals, ' IEEE Signal Processing Magazine, Vol. 8, no.2, pp.14-36, April 1991 https://doi.org/10.1109/79.81007
  9. G. C. Carter, C. Knapp, and A H. Nuttall, 'Estimation of the magnitude-squared coherence function via overlapped fast Fourier transform processing, ' IEEE Trans. Audio Electroacoust., Vol. AU-21, pp. 337-344, Aug. 1973
  10. A.H.Nuttall, 'Invariance of distribution of coherence estimate to second-channel statistics, ' IEEE Transactions of Acoustics, Speech, and Signal Processing, Vol. ASSP-29, no.1, pp.120-122, February 1981
  11. W.A. Gardner, 'Introduction to Random Processes with Applications to Signals and Systems. ' New York: Macmilan, 1985