Spectrum detection of cognitive radio based on blind signal separation

Proceedings - 2009 IEEE Youth Conference on Information, Computing and Telecommunication, YC-ICT2009

Volumn , Issue , 2009, Pages 166-169

  Liu, Xin ^a   Tan, Xuezhi ^a   Anghuwo, Anna Auguste ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Blind signal separation; Cognitive radio; Signal whitening; Spectrum detection; Wavelet denoising

Indexed keywords

BLIND SIGNAL SEPARATION; COGNITIVE RADIO; DETECTION ALGORITHM; DETECTION CHANNELS; ELECTROMAGNETIC SPECTRA; SIGNAL WHITENING; SPECTRUM DETECTION; WAVELET DENOISING;

RADIO; SENSORS;

SIGNAL DETECTION;

EID: 77950884457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/YCICT.2009.5382401     Document Type: Conference Paper

References (8)

1. Cabric Danijela, Mishra Shridhar Mubaraq, and Brodersen Robert W, "Implementation Issues in Spectrum Sensing for Cognitive Radios," Signals Systems and Computers, Conference Record of the Thirty-Eighth Asilomar Conference, pp.772-776, 2004, 1(1).
2. J.Mitola, "Cognitive radio: Making software radios more personal," IEEE Personal Communication, Aug. pp.13-18, 1999.
3. Simon Haykin, "Cognitive Radio: Brain Empowered Wireless Communications," IEEE journal on Selected Areas in Communications, Feb. pp. 201-220,2005,23(2).
4. Cordeiro Carlos, Challapali Kiran, Birru Dagnachew, and et al, "IEEE 802.22: An Introduction to the First worldwide Wireless Standard based on Cognitive Radios," Proc IEEE DySPAN, pp.328-337,2005.
5. Comon P, "Blind separation of source, Part2: Problem statement," Signal Processing, pp.21-29, 1991,24(1).
6. Cichocki A, Unbehauen R, Moszczynski L, and et al, "A new on-line adaptive learning algorithm for blind separation of source signals," In: ISANN94, Taiwan, pp.406-411, 1994.
7. Cardoso J F, Laheld B, "Equivariant adaptive source separation," IEEE Trans Signal Processing, pp. 3017-3030, 1996, 44(12).
8. Cheung Yiuming, Liu Hailin, "A new approach to blind source separation with global optimal property," Proc. IASTED Int. Conf. Neural Netw. Comput. Intell. pp.137-141, 2004.