A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture
The recognition of modulation schemes for communication signals is an important part of communication surveillance and spectrum monitoring. An algorithm based on deep learning and spectrum texture is proposed to recognize modulation schemes. Based on imperceptible differences among various spectrums...
| Format: | Article |
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| Language: | zho |
| Published: |
EDP Sciences
2019-08-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p816/jnwpu2019374p816.html |
| _version_ | 1797668402837323776 |
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| collection | DOAJ |
| description | The recognition of modulation schemes for communication signals is an important part of communication surveillance and spectrum monitoring. An algorithm based on deep learning and spectrum texture is proposed to recognize modulation schemes. Based on imperceptible differences among various spectrums of modulation schemes, the algorithm uses Convolution Neural Network to capture the features of image texture and thus classify the features with a SOFTMAX classifier. The experiment shows the algorithm performs better than traditional algorithm based on feature parameters, while the features captured can better reveal the signal detail and reduces effort on feature parameter design. |
| first_indexed | 2024-03-11T20:28:41Z |
| format | Article |
| id | doaj.art-d69d6356a52b4eddb293e1067e15f537 |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-11T20:28:41Z |
| publishDate | 2019-08-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-d69d6356a52b4eddb293e1067e15f5372023-10-02T11:18:57ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252019-08-0137481682310.1051/jnwpu/20193740816jnwpu2019374p816A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture012Institute of Information and Navigation, Air Force Engineering UniversityInstitute of Information and Navigation, Air Force Engineering UniversityInstitute of Information and Navigation, Air Force Engineering UniversityThe recognition of modulation schemes for communication signals is an important part of communication surveillance and spectrum monitoring. An algorithm based on deep learning and spectrum texture is proposed to recognize modulation schemes. Based on imperceptible differences among various spectrums of modulation schemes, the algorithm uses Convolution Neural Network to capture the features of image texture and thus classify the features with a SOFTMAX classifier. The experiment shows the algorithm performs better than traditional algorithm based on feature parameters, while the features captured can better reveal the signal detail and reduces effort on feature parameter design.https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p816/jnwpu2019374p816.htmlmodulation classificationspectrum texturedeep learningconvolution neural networkalgorithm |
| spellingShingle | A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture Xibei Gongye Daxue Xuebao modulation classification spectrum texture deep learning convolution neural network algorithm |
| title | A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture |
| title_full | A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture |
| title_fullStr | A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture |
| title_full_unstemmed | A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture |
| title_short | A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture |
| title_sort | recognition algorithm for modulation schemes by convolution neural network and spectrum texture |
| topic | modulation classification spectrum texture deep learning convolution neural network algorithm |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p816/jnwpu2019374p816.html |