Finite random matrices for blind spectrum sensing

Giuseppe Thadeu Freitas De Abreu, Wensheng Zhang, Yukitoshi Sanada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We address the Primary User (PU) detection (spectrum sensing) problem, relevant to cognitive radio, from a finite random matrix theoretical (RMT) perspective. Utilizing recently-derived closed-form and exact expressions for the distribution of the standard condition number (SCN) of dual random Wishart matrices, we design a new blind algorithm to detect the presence of PU signals. An inherent property of the technique, which is due to the reliance on SCN's, is that no SNR estimation or any other information on the PU signal is required. Like some similar asymptotic RMT-based techniques recently proposed, the algorithm also admits for a tolerated probability of false alarm α to be accounted for by design. The proposed finite RMT-based algorithm, however, outperforms all known similar alternatives, in consequence of the fact that the distribution of SCN's utilized are in closed-form and exact, for any given matrix size.

Original languageEnglish
Title of host publicationConference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Pages116-120
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 1
Event44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States
Duration: 2010 Nov 72010 Nov 10

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
CountryUnited States
CityPacific Grove, CA
Period10/11/710/11/10

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

De Abreu, G. T. F., Zhang, W., & Sanada, Y. (2010). Finite random matrices for blind spectrum sensing. In Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 (pp. 116-120). [5757480] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2010.5757480