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Implementation of Spectrum Sensing Module using STFT Method

STFT 기법을 적용한 스펙트럼 센싱 모듈 구현

  • 이현소 (충북대학교 전파통신공학과) ;
  • 강민규 (충북대학교 전파통신공학과) ;
  • 문기탁 (충북대학교 전파통신공학과) ;
  • 김경석 (충북대학교 전파통신공학과)
  • Published : 2010.01.28

Abstract

The Spectrum Sensing Technology is the core technology of the Cognitive Radio (CR) System that is one of the future wireless communication technologies. In this paper, we proposed the efficient Spectrum Sensing Method using the Short Time Fourier Transform (STFT) that is the algorithm for Time-Frequency analysis of the raw data. Applied window function to STFT algorithm is a Kaiser window, it is piled up its 50% range. For the simulation, the DVB-H signal with the 6MHz bandwidth is used as the Input Signal. And we confirm the Spectrum Sensing result using Modified Periodogram Method, Welch's Method for compared with Short Time Fourier Transform Algorithm. And also, Spectrum Sensing Module is implemented using embedded board.

Keywords

Spectrum Sensing;Short Time Fourier Transform;Cognitive Radio

References

  1. D. Cabric, S. M. Mishra, and R. W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios," Proc. IEEE Signal, Systems and Computers Conference, Vol.1, pp.772-776, 2004(11). https://doi.org/10.1109/ACSSC.2004.1399240
  2. Yucek. T and Arslan. H, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Communications Surveys & Tutorials, Vol.11, Issue.1, pp.116-130, 2009. https://doi.org/10.1109/SURV.2009.090109
  3. N. R. Lomb, "Least-squares frequency analysis of unequally spaced data," Astrophysics and Space Science, Vol.39, pp.447-462, 1976. https://doi.org/10.1007/BF00648343
  4. P. D. Welch, "The Use of Fast Fourier Transform for the Estimation of Power Spectra: A Method Based on Time Averaging Over Short Modified Periodograms," IEEE Transactions on Audio Electroacoustics, Vol.15, pp.70-73, 1967(6). https://doi.org/10.1109/TAU.1967.1161901
  5. Tomazic. S and Znidar. S, "A fast recursive STFT algorithm,” Electrotechnical Conference MELECON '96, 8th Mediterranean, Vol.2, pp.1025-1028, 1996(5). https://doi.org/10.1109/MELCON.1996.551383
  6. Wen-kai Lu and Qiang Zhang, "Deconvolutive Short-Time Fourier Transform Spectrogram," IEEE Signal Precessing Letters, Vol.16, Issue.7, pp.576-579, 2009(7). https://doi.org/10.1109/LSP.2009.2020887
  7. http://www.dsprelated.com/dspbooks/sasp/STFT_Kaiser_Window_Beta_10.html
  8. Thomas. G, Flores. B.C, and Jae Sok-Son, "SAR sidelobe apodization using the Kaiser window," Image Processing Proceedings International Conference, Vol.1, pp.709-712, 2000(9). https://doi.org/10.1109/ICIP.2000.901057
  9. Yuan-Pei Lin and Vaidyanathan. P.P, "A Kaiser window approach for the design of prototype filters of cosine modulated filterbanks," IEEE Signal Processing Letters, Vol.5, Issue.6, pp.132-134, 1998(6). https://doi.org/10.1109/97.681427
  10. J.P. Marques de Sa, "A Note on The Kaiser window," FEUP/DEEC, pp.1-8, 2003(10).