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New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 52 - Number 5
Year of Publication: 2012
Authors:
Mahmood A. Abdulsattar
Zahir A. Hussein
10.5120/8198-1588

Mahmood A Abdulsattar and Zahir A Hussein. Article: New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels. International Journal of Computer Applications 52(5):20-25, August 2012. Full text available. BibTeX

@article{key:article,
	author = {Mahmood A. Abdulsattar and Zahir A. Hussein},
	title = {Article: New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {52},
	number = {5},
	pages = {20-25},
	month = {August},
	note = {Full text available}
}

Abstract

In this paper we presented a DSP processor to be used as a baseband energy detectorbased spectrum sensingfor cognitive radio (CR) under fading channels. We Derived expression for the average probability of detection over Rayleigh fading channels in easiest form and Nakagami-m channels with no diversity. Novelties of this work came from proposing a multiple antennas signal detection technique for spectrum sensing in a multipath fading environment. Without involving the sampling theorems and the accompanying approximation, we derive closed-form expressions for the probability of detection and false alarm over an additive white Gaussian noise (AWGN) channels for the proposed method. The proposed technique is a low complexity scheme by using two energy detectors and not need prior information about the channel gain in comparison with other methods.

References

  • FCC, "Spectrum policy task force report," in Proceedings of the Federal Communications Commission (FCC 2002), Washington, DC, USA, November 2002.
  • J. Mitola and G. Q. Maguire, "Cognitive radio: making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13–18, 1999.
  • J. Mitola, "The software radio architecture," IEEE Communications Magazine, pp. 26–38, May 1995.
  • J. Mitola III, "Software radio architecture: a mathematical perspective," IEEE Journal on Selected Areas in Communication. vol. 17, no. 4, April 1999.
  • J. Ma, G. Li, and B. H. Juang, "Signal processing in cognitive radio," Proceedings of the IEEE, vol. 97, no. 5, pp. 805 –823, may 2009.
  • H. Urkowitz, "Energy detection of unknown deterministic signals," Proc. IEEE, vol. 55, no. 4, pp. 523–531, Apr. 1967.
  • Haykin S. and M. Moher eds. , Modern Wireless Communications. Prentice-Hall, 2004.
  • M. Pätzold, Mobile Fading Channel. , Article book, John Wiley & Sons, Ltd, 2002.
  • Y. H. Zeng, Y. C. Liang, A. T. Hoang, and R. Zhang, "Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions," EURASIP Journal on Advances in Signal Processing, Volume 2010, pp. 1-15.
  • J. G. Proakis, Digital communications. fourth ed. , McGraw-Hill, 2001.
  • I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products. 7th ed. San Diego, CA: Academic, 2007.
  • D. Tse and P. Viswanath, "Fundamentals of Wireless communication", Article book,Cambridge University Press, 2005.
  • J. Lai and N. B. Mandayam, "Fade Margins for Minimum Duration Outages in Lognormal Shadow Fading and Rayleigh Fading", Proceedings of Asilomar, pp. 609-613, Monterrey, CA, November 1997.
  • F. F. Digham, M. S. Alouini, and M. K. Simon, "On the energy detection of unknown signals over fading channels," Commun. , vol. 5, pp. 3575-3579, May. 2003.
  • M. K. Simon and M-S Alouini, Digital Communication over Fading Channels, New York: Wiley, 2 edition, 2005.
  • J. J. Lehtomaki, "The Detection and Correlation Modeling of Rayleigh Distribution Radar Signal," A Master Dissertation, Air Force Institute of Technology, University of Air, 1992. [Online] www. dtic. mil/cgi-bin/GetTRDoc?AD=ada256612.
  • Digham,F. , M. Alouini, and M. Simon, "On the Energy Detection of Unknown Signals Over Fading Channels," IEEE Transactions on Communications, vol. 55, pp. 21-24, 2007.
  • V. I. Kostylev, "Energy detection of a signal with random amplitude," in Proc. ICC 2002, New York, pp. 1606-1610,May 2002.
  • D. Tse and P. Viswanath, "Fundamentals of Wireless communication", Article book,Cambridge University Press, 2005.
  • Ashish, P. and J. P. Linnartz, "Performance analysis of primary user detection in a multiple antenna cognitive radio," IEEE International Conference on Communications, vol. 7, pp. 6482–6486, 2007.