Compressive wideband spectrum sensing using high-order statistics for cognitive radio

2013 IEEE Global High Tech Congress on Electronics, GHTCE 2013

Volumn , Issue , 2013, Pages 187-190

  Cao, Kaitian ^a   Shao, Hequn ^b  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b BEIHANG UNIVERSITY   (China)

Author keywords

cognitive radio; Compressed sensing; high order statistics; wideband spectrum sensing

Indexed keywords

ALGORITHMS; COMPRESSED SENSING; COMPUTATIONAL COMPLEXITY; SIGNAL RECONSTRUCTION; UNCERTAINTY ANALYSIS;

COGNITIVE RADIO NETWORK (CRN); COMPRESSIVE MEASUREMENTS; COMPRESSIVE SENSING; GENERALIZED ORTHOGONAL; HIGH ORDER STATISTICS; RECONSTRUCTION ALGORITHMS; TECHNICAL CHALLENGES; WIDEBAND SPECTRUM SENSING;

COGNITIVE RADIO;

EID: 84899019906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GHTCE.2013.6767270     Document Type: Conference Paper

References (15)

1. S. Xie, Y. Liu, Y. Zhang and R. Yu, "A parallel cooperative spectrum sensing in cognitive radio networks," IEEE Trans. Veh. Technol., vol. 59, no. 8, pp. 4079-4092, Oct. 2010
2. Z. Zhang and Z. Han, "Brief propagation based cooperative compressed spectrum sensing in wideband cognitive radio networks," IEEE Trans. Wireless Commun., vol. 10, no. 9, pp. 3020-3031, Sept. 2011
3. Z. Tian, Y. Tafesse and B. M. Sadler, "Cyclic feature detection with sub-Nyquist sampling for wideband spectrum sensing," IEEE J. Se.Topics signal process., vol.6, no.1, pp. 58-69. Feb.2012
4. E. J. Candes and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, no. 12, pp. 5406-5425, Dec. 2006
5. E. J. Candes, J. Romberg and T. Tao, "Near-optimal signal recovery from random projections: Universal encoding strategies?" IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006
6. D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006
7. Z. Tian and G. B. Giannakes, "Compressed sensing for wideband cognitive radios," Proc. of IEEE ICASSP, vol. 4, pp. 1357-1360, Apr. 2007
8. Z. Tian, "Compressed wideband sensing in cooperative wideband cognitive radio networks," Proc. of IEEE GLOBECOM, pp. 1-5, Nov. 2008
9. Z. Tian, "Cyclic feature based wideband spectrum sensing using compressive sampling," Proc. of IEEE ICC, pp. 1-5, Jun. 2011
10. M. A. Davenport, P. T. Boufounos, M. B. Wakin and R. G. Baraniuk, "Signal processing with compressive measurements," IEEE Journal of Selected topics in Signal Processing, vol. 4, no. 2, pp. 445-460, Apr. 2010
11. H. Moussavinik, W. Guibene and A. Hayar, "central collaborative compressed sensing of wideband spectrum for cognitive radios," Proc. of International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 246-252, 2010
12. R. G. Baraniuk, "compressive sensing," IEEE Signal Process. Mag., vol. 24, no. 4, pp. 118-121, Jul. 2007
13. E. J. Candes and T. Tao, "Decoding by linear programming," IEEE Trans. Inf. Theory, vol. 51, no. 12, pp. 4203-4215, Dec. 2005
14. L. Jin and Z. Hu, "spectrum sensing using higher-order statistics and receive diversity and cooperative detection," Proc. of IET International Communication Conference on Wireless Mobile and Computing (CCWMC), pp. 247-253, 2011
15. J. Wang, S. Kwon, and B. Shim, "Generalized orthogonal matching pursuit," IEEE Trans. Signal Process., vol. 60, no. 12, pp. 6202-6216, Dec. 2012.