Feature Image-Based Automatic Modulation Classification Method Using CNN Algorithm
In this paper, we propose a feature image-based automatic modulation classification (AMC) method to classify modulation type. The proposed method uses a convolutional neural network (CNN) which is one of deep learning algorithms for image classification. In order to classify the modulation type, var...
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| Vydáno v: | 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) s. 1 - 4 |
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| Jazyk: | angličtina |
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01.02.2019
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| Abstract | In this paper, we propose a feature image-based automatic modulation classification (AMC) method to classify modulation type. The proposed method uses a convolutional neural network (CNN) which is one of deep learning algorithms for image classification. In order to classify the modulation type, various features are transformed in a two-dimensional image and this image is used as the input of the CNN. From the simulation results, we show that the proposed method improves classification performance. |
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| AbstractList | In this paper, we propose a feature image-based automatic modulation classification (AMC) method to classify modulation type. The proposed method uses a convolutional neural network (CNN) which is one of deep learning algorithms for image classification. In order to classify the modulation type, various features are transformed in a two-dimensional image and this image is used as the input of the CNN. From the simulation results, we show that the proposed method improves classification performance. |
| Author | Lee, Jung Ho Kim, Kwang-Yul Shin, Yoan |
| Author_xml | – sequence: 1 givenname: Jung Ho surname: Lee fullname: Lee, Jung Ho organization: School of Electronic Engineering, Soongsil University, Seoul, 06978, Korea – sequence: 2 givenname: Kwang-Yul surname: Kim fullname: Kim, Kwang-Yul organization: School of Electronic Engineering, Soongsil University, Seoul, 06978, Korea – sequence: 3 givenname: Yoan surname: Shin fullname: Shin, Yoan organization: School of Electronic Engineering, Soongsil University, Seoul, 06978, Korea |
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| Snippet | In this paper, we propose a feature image-based automatic modulation classification (AMC) method to classify modulation type. The proposed method uses a... |
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| SubjectTerms | automatic modulation classification Classification algorithms convolutional neural network Convolutional neural networks cumulant Deep learning Feature extraction Modulation Signal to noise ratio |
| Title | Feature Image-Based Automatic Modulation Classification Method Using CNN Algorithm |
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