Deep Learning-Aided Modulation Recognition for Non-Orthogonal Signals
Deep Learning-Aided Modulation Recognition for Non-Orthogonal Signals
About this item
Full title
Author / Creator
Fan, Jiaqi , Wu, Linna , Zhang, Jinbo , Dong, Junwei , Wen, Zhong and Zhang, Zehui
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Automatic Modulation Recognition (AMR) can obtain the modulation mode of the received signal for subsequent processing without the assistance of the transmitter. Although the existing AMR methods have been mature for the orthogonal signals, these methods face challenges when deployed in non-orthogonal transmission systems due to the superimposed si...
Alternative Titles
Full title
Deep Learning-Aided Modulation Recognition for Non-Orthogonal Signals
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_bc840fdfdbb34d93afb1d07ddcbd7f22
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bc840fdfdbb34d93afb1d07ddcbd7f22
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23115234
