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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

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


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2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

2018-Jun-27
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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
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (544 KB) | Citation | Downloads: 27 | Views: 51

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

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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[CrossRef]


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References Weight

Web of Science® Citations for all references: 2,562 TCR
SCOPUS® Citations for all references: 3,278 TCR

Web of Science® Average Citations per reference: 95 ACR
SCOPUS® Average Citations per reference: 121 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 2019-12-11 16:02 in 180 seconds.




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


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