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Performance Analysis of Modulation Classification with a Preprocessing

Authors
Ahn, SeongjinYoon, DongweonShim, HongsukPark, Sungkyun
Issue Date
Oct-2020
Publisher
IEEE Computer Society
Keywords
modulation classification; digital modulation; Kolmogorov-Smirnov test; higher order statistics
Citation
International Conference on ICT Convergence, v.2020, no.October, pp.1519 - 1521
Indexed
SCOPUS
Journal Title
International Conference on ICT Convergence
Volume
2020
Number
October
Start Page
1519
End Page
1521
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3657
DOI
10.1109/ICTC49870.2020.9289582
ISSN
2162-1233
Abstract
In this paper, we propose a preprocessing method for automatic modulation classification that allows reliable classification of the digital baseband modulation schemes whose signal constellations have symmetry about the in-phase and quadrature axes. The proposed preprocessing is used to generate additional data for modulation classification based on the symmetric property of the signal constellation and provides robustness to noisy environment. Through computer simulations, we validate the modulation classification with the proposed preprocessing in terms of the classification performance.
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COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
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