Browse > Article

Spectrum Sensing using Bussgang Theorem for BEE 802.22 WRAN  

Hwang, Sung-Sue (부산대학교 전자전기공학과 통신시스템연구실)
Kim, Suk-Chan (부산대학교 전자전기공학과 통신시스템연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.9C, 2009 , pp. 922-927 More about this Journal
Abstract
Utilization problem of the limited spectrum is the one of the most important issues in wireless communication systems. Cognitive radio technique which is finding and utilizing frequency holes is also one of those techniques. Specially, the spectrum sensing technique to detect the primary user signal is a core technology in cognitive radio area. In this paper, we propose the spectrum sensing algorithm using Bussgang theorem. The proposed algorithm calculates the statistical difference between the Gaussian noise and the primary user signal by applying Bussgang theorem to the received signal. The algorithm is not affected by noise uncertainty and can detect the primary user signal in the very low SNR environment. We evaluate the algorithm through computer simulations with 12 ATSC A/74 DTV signal captures based on IEEE 802.22 WRAN and formulate the sensing threshold for the proposed scheme.
Keywords
spectrum sensing; cognitive radio; Bussgang theorem; WRAN; ATSC DTV;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Hou-Shin Chen, Wen Gao and David G.Daut, 'Spectrum sensing using cyclostationary properties and application to IEEE 80.22 WRAN,' in Proc. GLOBECOM " 07, pp. 3133-3138, Nov. 2007
2 Y. Zeng and Y. Liang, 'Maximum-minimum eigenvalue detection for cognitive radio,' in Proc. IEEE PIMRC '07, pp. 1-5, Sept. 2007
3 S. Shellhammer, V. Tawil, G. Chouinard, M. Muterspaugh and M. Ghosh, 'Spectrum Sensing Simulation Model,' IEEE 802.22-06/0028r10, Sept. 2006
4 J.J. Bussgang, 'Cross-correlation function of amplitude-distorted gaussian signals', Res. Lab. Elec., Mas. Inst. Technol., Cambridge MA, Tech. Rep. 216, Mar. 1952
5 J. Mitola III, 'Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio,' Ph.D. Thesis, Royal Institute of Technology, Sweden, May 2000
6 Y. Zeng and Y. Liang, 'Covariance based signal detections for cognitive radio,' in Proc. IEEE DySpan'07, pp. 202-207, Apr. 2007
7 FCC, Spectrum Policy Task Force Report, ET Docket No. 02-155, Nov. 2002
8 H.-S. Chen, W. Gao and D. G. Daut, 'Signature based spectrum sensing algorithms for IEEE 802.22 WRAN,' IEEE ICC, pp.6487-6492, Jun. 2007
9 S. Shellhammer and R. Tandra, 'Performance of the power detector with noise uncertainty,' IEEE 802.22-06/0134r0, Jul. 2006
10 S. Mathur, R. Tandra, S. Shellhammer and M. Ghosh, 'Initial signal processing of captured DTV Signals for Evaluation of Detection Algorithms,' IEEE 802.22-06/0158r5, Sept. 2006
11 G. Giunta, G. Jacovitti, and G. Scarano, 'Bussgang non-gaussianity test for stationary series' in Proc. IEEE Signal Processing Workshop on Higher-Order Statistics, pp.21-23, Jul. 1997
12 S. Shellhammer, 'Text on energy detector,' IEEE 802.22-07/0264r2, Jun. 2007