Demonstration of spectrum sensing with blindly learned features

IEEE Communications Letters

Volumn 15, Issue 5, 2011, Pages 548-550

  Zhang, Peng ^a   Qiu, Robert ^a   Guo, Nan ^a  

^a Tennessee Technological University   (United States)

Author keywords

demonstration; Spectrum sensing

Indexed keywords

COGNITIVE RADIO; DETECTION PERFORMANCE; EIGENVECTORS; FEATURE TEMPLATE MATCHING; HARDWARE EXPERIMENT; SOFTWARE-DEFINED RADIOS; SPECTRUM SENSING;

LEARNING ALGORITHMS; TEMPLATE MATCHING;

RADIO;

EID: 79956227372     PISSN: 10897798     EISSN: None     Source Type: Journal    
DOI: 10.1109/LCOMM.2011.030911.110127     Document Type: Article

References (10)

1. R. Tandra and A. Sahai, "Fundamental limits on detection in low SNR under noise uncertainty," in Proc. International Conference on Wireless Networks, Communications and Mobile Computing, vol. 1, pp. 464-469, 2005. (Pubitemid 44822357)
2. Y. Zeng, Y. Liang, A. Hoang, and R. Zhang, "A review on spectrum sensing for cognitive radio: challenges and solutions," EURASIP J. Advances Signal Process., vol. 2010, p. 2.
3. Z. Chen, N. Guo, and R. Qiu, "Demonstration of real-time spectrum sensing for cognitive radio," IEEE Commun. Lett., vol. 14, pp. 915-917, Oct. 2010.
4. S. Oh, T. Le, W. Zhang, S. Ahmed, Y. Zeng, and K. Kua, "TV whitespace sensing prototype," Wireless Commun. and Mobile Computing, vol. 9, no. 11, pp. 1543-1551, 2009.
5. T. Lim, R. Zhang, Y. Liang, and Y. Zeng, "GLRT-based spectrum sensing for cognitive radio," in Proc. IEEE Global Telecommunications Conference, pp. 1-5, Nov. 2008.
6. Y. Zeng and Y. Liang, "Maximum-minimum eigenvalue detection for cognitive radio," in Proc. IEEE 18th International Symposium on PIMRC, pp. 1-5, Sep. 2007.
7. K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd edition. Academic Press, 1990.
8. V. Tawil, "51 captured DTV signal." http://grouper.ieee.org/ groups/802/22/Meetingdocuments/2006May/InformalDocuments, May 2006.
9. A. Sharma and K. Paliwal, "Fast principal component analysis using fixed-point algorithm," Pattern Recognition Lett., vol. 28, no. 10, pp. 1151-1155, 2007. (Pubitemid 46710169)
10. A. Frieze, R. Kannan, and S. Vempala, "Fast Monte-Carlo algorithms for finding low-rank approximations," J. ACM, vol. 51, no. 6, pp. 1025-1041, 2004. (Pubitemid 40818314)