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합성곱 신경망 기반 위상 오프셋에 강인한 변조 분류Convolution Neural Network Based Automatic Modulation Classification Robust to Phase Offset
- Other Titles
- Convolution Neural Network Based Automatic Modulation Classification Robust to Phase Offset
- Issue Date
- Nov-2021
- Publisher
- 대한전자공학회
- Citation
- 2021년도 대한전자공학회 추계학술대회 논문집, pp.274 - 275
- Indexed
- OTHER
- Journal Title
- 2021년도 대한전자공학회 추계학술대회 논문집
- Start Page
- 274
- End Page
- 275
- Abstract
- Automatic modulation classification (AMC) is one of the important technologies in non-cooperative contexts such as cognitive radio. In this paper, we propose an AMC robust to phase offset by using convolution neural network. For AMC, we adopt polar coordinate images to which two-dimensional discrete Fourier transform is applied. We analyze the classification performance of the proposed method and show that the proposed AMC is not affected by phase offset.
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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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Related Researcher
- Yoon, Dongweon
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)