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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