Effects of noise power estimation on energy detection for cognitive radio applications

IEEE Transactions on Communications

Volumn 59, Issue 12, 2011, Pages 3410-3420

  Mariani, Andrea ^a   Giorgetti, Andrea ^a   Chiani, Marco ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Energy detection; noise power estimation; noise uncertainty; SNR wall

Indexed keywords

ANALYTICAL EXPRESSIONS; COGNITIVE RADIO; DESIGN CURVES; ENERGY DETECTION; ENERGY DETECTORS; FAST SENSING; NOISE POWER; NOISE UNCERTAINTY; NOISE-POWER ESTIMATION; OBSERVATION INTERVAL; SIGNAL TO NOISE; SNR WALL; SPECTRUM SENSING; UNCERTAIN KNOWLEDGE;

COGNITIVE SYSTEMS; DETECTORS; ESTIMATION; RADIO; SIGNAL TO NOISE RATIO; UNCERTAINTY ANALYSIS;

SIGNAL DETECTION;

EID: 84655166981     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2011.102011.100708     Document Type: Article

References (32)

1. S. Haykin, D. Thomson, and J. Reed, "Spectrum sensing for cognitive radio," Proc. IEEE, vol. 97, no. 5, pp. 849-877, May 2009.
2. T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Commun. Surveys & Tuts., vol. 11, no. 1, pp. 116-130, 2009.
3. I. Akyildiz, W.-Y. Lee, M. Vuran, and S. Mohanty, "A survey on spectrum management in cognitive radio networks," IEEE Commun. Mag., vol. 46, no. 4, pp. 40-48, Apr. 2008.
4. M. Chiani and M. Win, "Estimating the number of signals observed by multiple sensors," in Proc. 2010 IEEE Int. Workshop Cognitive Inf. Process., pp. 156-161.
5. M. Wellens and P. Mahonen, "Lessons learned from an extensive spectrum occupancy measurement campaign and a stochastic duty cycle model," in Proc. 2009 IEEE Int. Conf. Testbeds Research Infrastructures Develop. Netw. Communities.
6. H. Urkowitz, "Energy detection of unknown deterministic signals," Proc. IEEE, vol. 55, no. 4, pp. 523-531, Apr. 1967.
7. D. Torrieri, Principles of Spread-Spectrum Communication Systems. Springer, 2005.
8. R. Mills and G. Prescott, "A comparison of various radiometer detection models," IEEE Trans. Aerosp. Electron. Syst., vol. 32, no. 1, pp. 467-473, Jan. 1996.
9. S. Kandeepan, A. Giorgetti, and M. Chiani, "Periodic spectrum sensing performance and requirements for detecting legacy users with temporal and noise statistics in cognitive radios," in Proc. 2009 IEEE Globecom Broadband Wireless Access Workshop, pp. 1-6.
10. D. Torrieri, "The radiometer and its practical implementation," in Proc. 2010 IEEE Military Commun. Conf., pp. 304-310.
11. A. Sonnenschein and P. M. Fishman, "Radiometric detection of spreadspectrum signals in noise of uncertain power," IEEE Trans. Aerosp. Electron. Syst., vol. 28, no. 3, pp. 654-660, July 1992.
12. R. Tandra and A. Sahai, "Fundamental limits on detection in low SNR under noise uncertainty," in Proc. 2005 IEEE Int. Conf. Wireless Netw., Commun. Mobile Comput., pp. 464-469.
13. -, "SNR walls for signal detection," IEEE J. Sel. Topics Signal Process., vol. 2, pp. 4-17, Feb. 2008.
14. S. Mishra, A. Sahai, and R. Brodersen, "Cooperative sensing among cognitive radios," in Proc. 2006 IEEE Int. Conf. on Commun., pp. 1658-1663.
15. B. Shen, L. Huang, C. Zhao, Z. Zhou, and K. Kwak, "Energy detection based spectrum sensing for cognitive radios in noise of uncertain power," Vientiane, Lao PDR, Oct. 2008, pp. 628-633.
16. S. M. Kay, Fundamentals of Statistical Processing: Estimation Theory. Prentice-Hall Signal Processing Series, 1993, vol. 1.
17. M. Abramowitz and I. A. Stegun, editors, Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables., National Bureau of Standards Applied Mathematics Series 55, Washington, D. C.: U. S. Government Printing Office, 1964.
18. M. Chiani, D. Dardari, and M. K. Simon, "New exponential bounds and approximations for the computation of error probability in fading channels," IEEE Trans. Wireless Commun., vol. 2, no. 4, pp. 840-845, July 2003.
19. H. Van Trees, Detection, Estimation and Modulation Theory-Part I: Detection, Estimation, and Linear Modulation Theory. Wiley, 1968.
20. C. Cordeiro, K. Challapali, and D. Birru, "IEEE 802.22: an introduction to the first wireless standard based on cognitive radios," J. Commun., vol. 1, no. 1, pp. 38-47, Apr. 2006.
21. C. Stevenson, G. Chouinard, Z. Lei, W. Hu, S. Shellhammer, and W. Caldwell, "IEEE 802.22: the first cognitive radio wireless regional area network standard," IEEE Commun. Mag., vol. 47, no. 1, pp. 130-138, Jan. 2009.
22. Ecma 392: MAC and PHY for Operation in TV White Spaces, Ecma International Std., Dec. 2009. Available: http://www.ecma-international.org/ publications/standards/Ecma-392.htm
23. S. Shellhammer and G. Chouinard, "Spectrum sensing requirements summary," IEEE P802.22-06/0089r1, Tech. Rep., June 2006.
24. G. Ko, A. A. Franklin, S.-J. You, J.-S. Pak, M.-S. Song, and C.-J. Kim, "Channel management in IEEE 802.22 WRAN systems," IEEE Commun. Mag., vol. 48, no. 9, pp. 88-94, Sep. 2010.
25. A. Mariani, A. Giorgetti, and M. Chiani, "Energy detector design for cognitive radio applications," in Proc. 2010 IEEE Int. Waveform Diversity & Design Conf., pp. 53-57 (invited paper).
26. -, "SNR wall for energy detection with noise power estimation," in Proc. 2011 IEEE Int. Conf. on Commun.
27. D. A. Shnidman, "Radar detection probabilities and their calculation," IEEE Trans. Aerosp. Electron. Syst., vol. 31, no. 3, pp. 928-950, July 1995.
28. J. J. Lehtomaki, M. Juntti, and H. Saarnisaari, "CFAR strategies for channelized radiometer," IEEE Signal Process. Lett., vol. 12, no. 1, pp. 13-16, Jan. 2005.
29. F. Digham, M.-S. Alouini, and M. Simon, "On the energy detection of unknown signals over fading channels," in Proc. 2003 IEEE Int. Conf. on Commun., pp. 3575-3579.
30. M. K. Simon, Probability Distributions Involving Gaussian Random Variables: A Handbook for Engineers, Scientists. Kluwer Academic Publishers, 2002.
31. W. M. Gifford, M. Z. Win, and M. Chiani, "Diversity with practical channel estimation," IEEE Trans. Wireless Commun., vol. 4, no. 4, pp. 1935-1947, July 2005.
32. S. J. Shellhammer, "Spectrum sensing in IEEE 802.22," in Proc. 2008 IAPR Work. on Cognitive Inf. Process.