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Frequency Domain DTV Pilot Detection Based on the Bussgang Theorem for Cognitive Radio

  • Hwang, Sung Sue (Department of Electronic Engineering, Pusan National University, HMI Tech. Lab.) ;
  • Park, Dong Chan (Department of Electronic Engineering, Pusan National University) ;
  • Kim, Suk Chan (Department of Electronic Engineering, Pusan National University)
  • Received : 2012.08.21
  • Accepted : 2013.01.11
  • Published : 2013.08.01

Abstract

In this paper, a signal detection scheme for cognitive radio (CR) based on the Bussgang theorem is proposed. The proposed scheme calculates the statistical difference between Gaussian noise and the primary user signal by applying the Bussgang theorem to the received signal. Therefore, the proposed scheme overcomes the noise uncertainty and gives scalable complexity according to the zero-memory nonlinear function for a mobile device. We also present the theoretical analysis on the detection threshold and the detection performance in the additive white Gaussian noise channel. The proposed detection scheme is evaluated by computer simulations based on the IEEE 802.22 standard for the wireless regional area network. Our results show that the proposed scheme is robust to the noise uncertainty and works well in a very low signal-to-noise ratio.

Keywords

References

  1. FCC, "Spectrum Policy Task Force Report," ET. Docket No. 02-155, Nov. 2002.
  2. J. Mitola and G.Q. Maguire, "Cognitive Radios: Making Software Radios More Personal," IEEE Per. Commun., vol. 6, no. 4, Aug. 1999, pp. 13-18. https://doi.org/10.1109/98.788210
  3. C. Stevenson et al., "IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard," IEEE Commun. Mag., vol. 47, no. 1, Jan. 2009, pp. 130-138. https://doi.org/10.1109/MCOM.2009.4752688
  4. T. Yucek and H. Arslan, "A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications," IEEE Commun. Surv. Tuts., vol. 11, no. 1, First Quarter 2009, pp. 116-130. https://doi.org/10.1109/SURV.2009.090109
  5. S. Shellhammer, "Text on Energy Detector - For Informative Annex on Sensing Techniques," IEEE 802.22-07/0264r2, June 2007.
  6. H. Urkowitz, "Energy Detection of Unknown Deterministic Signals," Proc. IEEE, vol. 55, no. 4, Apr. 1967, pp. 523-531. https://doi.org/10.1109/PROC.1967.5573
  7. S.M. Kay, Fundamentals of Statistical Signal Processing: Detection Theory, vol. 2, Prentice-Hall, 2003, pp. 439-526.
  8. S. Shellhammer and R. Tandra, "Performance of the Power Detector with Noise Uncertainty," IEEE 802.22-06/0134r0, July 2006.
  9. A. Mariani, A. Giorgetti, and M. Chiani, "Effects of Noise Power Estimation on Energy Detection for Cognitive Radio Applications," IEEE Trans. Commun., vol. 59, no. 12, Dec. 2011, pp. 3410-3420. https://doi.org/10.1109/TCOMM.2011.102011.100708
  10. R. Tandra and A. Sahai, "SNR Walls for Signal Detection," IEEE J. Sel. Topics Signal Process., vol. 2, no. 1, Feb. 2008, pp. 4-17. https://doi.org/10.1109/JSTSP.2007.914879
  11. H.-S. Chen, W. Gao, and D.G. Daut, "Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN," Proc. IEEE ICC, June 2007, pp. 6487-6492.
  12. D. Bhargavi and C. Murthy, "Performance Comparison of Energy, Matched-Filter and Cyclostationarity-Based Spectrum Sensing," Proc. IEEE Int. Works. SPAWC, June 2010, pp. 1-5.
  13. H.-S. Chen, W. Gao, and D.G. Daut, "Spectrum Sensing Using Cyclostationary Properties and Application to IEEE 80.22 WRAN," Proc. IEEE GLOBECOM, Nov. 2007, pp. 3133-3138.
  14. B. Deepa, A.P. Iyer, and C.R. Murthy, "Cyclostationary-Based Architectures for Spectrum Sensing in IEEE 802.22 WRAN," Proc. IEEE GLOBECOM, Dec. 2010, pp. 1-5.
  15. W.A. Gardner, "Exploitation of Spectral Redundancy in Cyclostationary Signals," IEEE Signal Process. Mag., vol. 8, no. 2, Apr. 1991, pp. 14-36.
  16. W.A. Gardner, "Spectral Correlation of Modulated Signals: Part I - Analog Modulation," IEEE Trans. Commun., vol. 35, no. 6, June 1987, pp. 584-594. https://doi.org/10.1109/TCOM.1987.1096820
  17. Y. Zeng and Y.-C. Liang, "Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances," IEEE Trans. Veh. Technol., vol. 58, no. 4, May 2009, pp. 1804-1815. https://doi.org/10.1109/TVT.2008.2005267
  18. Y. Zeng and Y.-C. Liang, "Eigenvalue-Based Spectrum Sensing Algorithms for Cognitive Radio," IEEE Trans. Commun., vol. 57, no. 6, June 2009, pp. 1784-1793. https://doi.org/10.1109/TCOMM.2009.06.070402
  19. A. Papoulis and S.U. Pillai, Probability, Random Variables and Stochastic Processes, 4th ed., New York: McGraw-Hill, 2002.
  20. J.J. Bussgang, "Cross-Correlation Function of Amplitude-Distorted Gaussian Signals," Res. Lab. Elec., MIT, Cambridge, MA, Tech. Rep. 216, Mar. 1952.
  21. G. Giunta, G. Jacovitti, and G. Scarano, "Bussgang Gaussianity Test for Stationary Series," Proc. IEEE SPW-HOS, 1997, pp. 434-437.
  22. S. Shellhammer and R. Tandra, "An Evaluation of DTV Pilot Power Detection," IEEE 802.22-06/0188r0, Sept. 2006.
  23. D. Cabric, A. Tkachenko, and R.W. Brodersen, "Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection," Proc. IEEE MILCOM, 2006, pp. 1-7.
  24. N. Kundargi and A. Tewfik, "Sequential Pilot Sensing of ATSC Signals in IEEE 802.22 Cognitive Radio Networks," Proc. ICASSP, 2008, pp. 2789-2792.
  25. C. Cordeiro et al., "Spectrum Sensing for Dynamic Spectrum Access of TV Bands," Proc. CrownCom, 2007, pp. 225-233.
  26. V. Tawil, 51 captured DTV signal, May 2006, http://grouper.ieee.org/groups/802/22
  27. J.G. Proakis and M. Salehi, Digital Communications, 5th ed., New York: McGraw-Hill, 2008, pp. 46-48.
  28. ATSC, "ATSC Digital Television Standard," ATSC Doc. A/53D, July 19, 2005.
  29. ATSC, "Guide to the Use of ATSC Digital Television Standard," ATSC Doc. A/54A, Dec. 4, 2003.
  30. S. Mathur et al., "Initial Signal Processing of Captured DTV Signals for Evaluation of Sensing Algorithm," IEEE 802.22-06/0158r5, Sept. 2006.
  31. S. Shellhammer et al., "Spectrum Sensing Simulation Model," IEEE 802.22-06/0028r10, Sept. 2006.
  32. Y. Zeng and Y.-C. Liang, "Text on Eigenvalue Based Sensing," IEEE 802.22-07/0297r1, July 2007.
  33. T.J. Lim et al., "GLRT-Based Spectrum Sensing for Cognitive Radio," Proc. IEEE GLOBECOM, 2008, pp. 1-5.

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