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Performance analysis of modulation classification with a preprocessing

Title
Performance analysis of modulation classification with a preprocessing
Author
윤동원
Keywords
modulation classification; digital modulation; Kolmogorov-Smirnov test; higher order statistics
Issue Date
2020-10
Publisher
IEEE
Citation
2020 International Conference on Information and Communication Technology Convergence (ICTC), page. 1519-1521
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.
URI
https://xplorestaging.ieee.org/document/9289582https://repository.hanyang.ac.kr/handle/20.500.11754/171203
ISBN
978-1-7281-6758-9
ISSN
2162-1233
DOI
10.1109/ICTC49870.2020.9289582
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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