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Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Nov 2012Embargo end date: 01 Feb 2013 United Kingdom Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Signal Processing, volume 60, pages 6,068-6,073 (issn: 1053-587X, eissn: 1941-0476, Copyright policy )
Authors: Hongjian Sun 0001; Wei-Yu Chiu; Jing Jiang 0004; Arumugam Nallanathan; H. Vincent Poor;

doi: 10.1109/tsp.2012.2212892 , 10.48550/arxiv.1302.1847

arXiv: 1302.1847

Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios

Abstract

Multi-rate asynchronous sub-Nyquist sampling (MASS) is proposed for wideband spectrum sensing. Corresponding spectral recovery conditions are derived and the probability of successful recovery is given. Compared to previous approaches, MASS offers lower sampling rate, and is an attractive approach for cognitive radio networks.

14 pages, 4 figures and 1 table. This manuscript has been accepted to be published in IEEE Transactions on Signal Processing

Country
United Kingdom
Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 88
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
88
Top 10%
Top 10%
Top 1%
Green
bronze