Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
권호 표지

High Resolution Cyclostationary Spectrum Sensing for ATSC Signal Detection

ATSC 신호 검출을 위한 고분해능 사이클로스테이션너리(Cyclostationary) 스펙트럼 센싱

  • Yoo, Do-Sik (School of Electronic and Electrical Engineering, Hongik University) ;
  • Lim, Jong-Tae (School of Electronic and Electrical Engineering, Hongik University) ;
  • Kang, Min-Hong (School of Electronic and Electrical Engineering, Hongik University) ;
  • Lim, Sun-Min (Electronics and Telecommunications Research Institute)
  • 유도식 (홍익대학교 전자전기공학부) ;
  • 임종태 (홍익대학교 전자전기공학부) ;
  • 강민홍 (홍익대학교 전자전기공학부) ;
  • 임선민 (한국전자통신연구원)
  • Received : 2009.04.07
  • Accepted : 2009.06.30
  • Published : 2009.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we consider a cyclostationary-feature-detection based spectrum sensing algorithm for ATSC signal detection. One of the proposed algorithms for IEEE 802.22 standardization organization which meet the requirements of IEEE 802.22 is Thomson's algorithm based on cyclostationary feature detection. We propose an interpolation-based spectrum sensing algorithm for ATSC signal detection, which has less computation complexity than that of Thomson's algorithm and provides no performance loss compared to Thomson's algorithm. By using zero-padding in time domain and effective sensing scanning method, the proposed algorithm requires less computational complexity and shows no performance degradation compared to Thomson's algorithm.

본 논문에서는 주파수 사용 효율 증대를 위한 사이클로스테이션너리 특징 검출 (Cyclostationary Feature Detection; CFD)방식의 ATSC 신호 검출 알고리듬을 고려한다. 현재 IEEE 802.22 표준화 기구에 제안된 알고리듬들 중 IEEE 802.22의 권고사항을 충분히 만족시키는 알고리듬으로 사이클로스테이션너리 특징 검출 방식에 기반한 톰슨(Thomson)사의 알고리듬이 있다. 본 논문에서는 톰슨사의 알고리듬보다 계산량이 적으면서 톰슨사의 알고리즘의 성능에 필적할 만한 성능을 갖는 보간법 기반 ATSC 스펙트럼 센싱 알고리듬을 제안한다. 제안하는 보간법 기반 알고리듬은 시간영역에서의 영삽입(Zero-Padding) 방법과 효과적인 센싱 스캔 방법을 사용하여 적은 계산량으로 톰슨사의 성능에 필적하는 성능을 보여준다.

Keywords

References

  1. J. Mitola Ill, "Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio," Ph. D. Thesis, Royal Institute of Technology,Sweden, May2000.
  2. FCC. ET Docket No. 03-322, Notice of Proposed Rule Making and Order, Dec. 2003.
  3. I. F. Akyildiz, W. Y. Lee, M. C. Vuran, and S.Mohanly,"A Survey on Spectrum Management in Cognitive Radio Networks," IEEE Comm. Magazine, pp. 40-48, April 2000.
  4. ATSC Digital Television Standard, Revision E with Amendments No. 1 and No. 2, ANNEX D, ATSC, Sept. 2006
  5. H.-S. Chen, W. Gao, D. G. Daut, "Spectrum Sensing Using Cyclostationary Properties and Applications to IEEE 802.22 WRAN," IEEE Globecom 2007, pp. 3133-3138, Nov. 2007.
  6. W. A. Gardner, Statistical Spectral Analysis: A Nonparameteric Theory, Prentice-Hall, 1987.
  7. W. A. Gardner, Measurement of Spectral Correlation: IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 8, No. 2, pp. 14-36, April 1991.