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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2019 - 8

Research on Influencing Factors of Digital Signal Modulation Recognition

WANG, J. See more information about WANG, J. on SCOPUS See more information about WANG, J. on IEEExplore See more information about WANG, J. on Web of Science, DU, H. See more information about DU, H. on SCOPUS See more information about DU, H. on SCOPUS See more information about DU, H. on Web of Science
 
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Download PDF pdficon (544 KB) | Citation | Downloads: 153 | Views: 257

Author keywords
pattern recognition, digital modulation, higher order statistics, multiple signal classification, machine learning

References keywords
modulation(21), recognition(13), order(12), communications(12), signal(9), digital(8), cumulants(8), classification(8), automatic(7), signals(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-11-30
Volume 19, Issue 4, Year 2019, On page(s): 65 - 72
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.04008
Web of Science Accession Number: 000500274700007
SCOPUS ID: 85077254689

Abstract
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In the real environment, modulation recognition has low classification recognition rate under low SNR and is affected by many factors such as symbol rate, frequency offset and adjacent channel crosstalk. Based on the combination of high-order cumulants and instantaneous features, this paper firstly analyzes the performance of modulation signal recognition in Gaussian environment. Then through the experimental verification, symbol rate, frequency offset, adjacent channel crosstalk has an impact on the accuracy of modulation recognition. The experimental results show that the ratio of symbol rate and sampling rate has a significant impact on the recognition results, while frequency offset and adjacent channel crosstalk have little impact on the recognition rate.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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References Weight

Web of Science® Citations for all references: 2,725 TCR
SCOPUS® Citations for all references: 3,489 TCR

Web of Science® Average Citations per reference: 101 ACR
SCOPUS® Average Citations per reference: 129 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2020-06-01 08:52 in 171 seconds.




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