Performance Analysis of Modulation Classification with a Preprocessing
- Authors
- Ahn, Seongjin; Yoon, Dongweon; Shim, Hongsuk; Park, 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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