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Performance of Hybrid Sensing Method in Environment with Noise Uncertainty

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a novel hybrid spectrum sensing method used in cognitive radio and presents a hybrid detector (HD) which improves the sensing performance. The proposed HD takes advantage of the energy detection (ED) principle and a method based on Covariance Absolute Value (CAV), as well as on Cyclic Autocorrelation Function (CAF). The paper shows the limitations of using ED, resulting from the uncertainty of spectral density of noise power estimation, known as the SNR wall. The paper describes a system model and presents simulation results for the OFDM signal of a WiMAX-based communications system. The simulation results refer to an ideal environment with well-known parameters, and to an environment with uncertain spectral density of noise power estimation.
Rocznik
Tom
Strony
51--57
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • Military Communication Institute, Warszawska 22A, 05-130 Zegrze, Poland
autor
  • Military Communication Institute, Warszawska 22A, 05-130 Zegrze, Poland
  • Military Communication Institute, Warszawska 22A, 05-130 Zegrze, Poland
Bibliografia
  • [1] Federal Communications Commission: Notice of proposed rulemaking and order, Facilitating opportunities for flexible, efficient and reliable spectrum use employing cognitive radio technologies. FCC 03-322, 2003.
  • [2] S. Kapoor and G. Singh, “Non-cooperative spectrum sensing: A hybrid model approach”, in 2011 Int. Conf. on Dev. and Commun. ICDeCom 2011, Mesra, India, 2011.
  • [3] H. Bogucka, Technologie Radia Kognitywnego. Warsaw: PWN, 2013 (in Polish).
  • [4] S. Haykin, D. J. Thomson, and J. Reed, “Spectrum sensing for cognitive radio”, Proc. IEEE, vol. 97, no. 5, pp. 849–877, 2009.
  • [5] H. Urkowitz, “Energy detection of unknown deterministic signals”, Proc. IEEE, vol. 55, no. 4, pp. 523–531, 1967 (doi: 10.1109/PROC.1967.5573).
  • [6] D. Cabric, A. Tkachenko, and R. Brodersen, “Experimental study of spectrum sensing based on energy detection and network cooperation”, in Proc. of the 1st ACM Int. Worksh. on Technol. and Policy for Access. Spectrum TAPAS’06, Boston, USA 2006, Article no. 12 (doi: 10.1145/1234388.1234400).
  • [7] A. Sahai and D. Cabric, “Spectrum sensing: Fundamental limits and practical challenges”, in Proc. of the IEEE Int. Symp. on New Frontiers in Dynam. Spec. Access Netw. DySPAN 2005, Baltimore, MD, USA, 2005.
  • [8] S. Geethu and G. Lakshminarayanan, “A novel selection based hybrid spectrum sensing technique for cognitive radios”, in 2013 IEEE Int. Conf. on Emerging Trends in Comput., Commun. and Nanotechnol. ICE-CCN 2013, Tirunelveli, India, 2013 (doi: 10.1109/ICE-CCN.2013.6528546).
  • [9] J. Nikonowicz, P. Kubczak, and L. Matuszewski, “Hybrid detection based on energy and entropy analysis as a novel approach for spectrum sensing”, in Proc. Int. Conf. on Sig. and Elec. Syst. ICSES 2016, Cracow, Poland, 2016 (doi: 10.1109/ICSES.2016.7593852).
  • [10] R. Tandra and A. Sahai, “SNR Wall for signal detection”, IEEE J. of Selec. Topics In Sig. Process., vol. 2, no. 1, pp. 4–17, 2008.
  • [11] Y. Zeng, Y.-Ch. Liang, A. T. Hoang, and R. Zhang, “A review on spectrum sensing for cognitive radio: Challenges and solutions”, EURASIP J. on Adv. in Sig. Process., vol. 2010, Article no. 2, 2010 (doi: 10.1155/2010/381465).
  • [12] Y. Zeng and Y.-Ch. Liang, “Covariance based signal detections for cognitive radio”, in Proc. 2nd IEEE Int. Symp. on New Front. in Dynam. Spectrum Access Netw. DySPAN 2007, Dublin, Ireland, 2007, pp. 202–207.
  • [13] M. ¨Oner and F. Jondral, “Air interface identification for software radio systems”, Int. J. Electron. Commun. (AEU), vol. 61, no. 2, pp. 104–117, 2007.
  • [14] W. Gardner, Statistical Spectral Analysis: A Nonprobabilistic Theory. NJ: Prentice Hall, 1987.
  • [15] L. P. Goo, “Detectors for Cognitive Radio. Master Thesis”, National University of Singapore, 2007.
  • [16] IEEE Standard 802.16-2004 [Online]. Available: http://ieee802.org/16/pubs/80216-2004.html
  • [17] Z. Ye, G. Memik, and J. Grosspietsch, “Energy detection using estimated noise variance for spectrum sensing in cognitive radio networks”, in Proc. IEEE Wirel. Commun. and Netw. Conf. WCNC 2008, Las Vegas, NV, USA, 2008, pp. 711–716.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bb631c81-36ab-4923-bb96-937134565ca7
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