A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum
A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
The vast majority of existing sub-Nyquist sampling wideband spectrum sensing (WSS) methods default to a sparse spectrum. However, research data suggests that in the near future, the wideband spectrum will no longer be sparse. This article proposes a sub-Nyquist sampling WSS algorithm that can adapt well to non-sparse spectrum scenarios. The algorit...
Alternative Titles
Full title
A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_20455fa9692f4b55abeb12fc20a1f00f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_20455fa9692f4b55abeb12fc20a1f00f
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22166295
