Referenced Items are not available for this document.
This letter presents an adaptive spectrum sensing algorithm that detects wideband spectrum using sub-Nyquist sampling rates. By taking advantage of compressed sensing (CS), the proposed algorithm reconstructs the wideband spectrum from compressed samples. Furthermore, an ell_2 norm validation approach is proposed that enables cognitive radios (CRs) to automatically terminate the signal acquisition once the current spectral recovery is satisfactory, leading to enhanced CR throughput. Numerical results show that the proposed algorithm can not only shorten the spectrum sensing interval, but also improve the throughput of wideband CRs.
Published in:
Communications Letters, IEEE
(Volume:16
,
Issue:
11
)
Date of Publication: November 2012
- Page(s):
- 1812 - 1815
- ISSN :
- 1089-7798
- INSPEC Accession Number:
- 13146830
- Digital Object Identifier :
- 10.1109/LCOMM.2012.092812.121648
- Product Type:
- Journals & Magazines
- Date of Publication :
- 05 October 2012
- Date of Current Version :
- 26 November 2012
- Issue Date :
- November 2012
- Sponsored by :
- IEEE Communications Society
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