Radio signal recognition based on image deep learning
A technical idea was innovatively proposed that uses image deep learning to solve the problem of radio signal recognition.First,the radio signal was transformed into a two-dimensional picture,and the radio signal recognition problem was transformed into the object detection problem in the field of i...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019167/ |
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| author | Xin ZHOU Xiaoxin HE Changwen ZHENG |
| author_facet | Xin ZHOU Xiaoxin HE Changwen ZHENG |
| author_sort | Xin ZHOU |
| collection | DOAJ |
| description | A technical idea was innovatively proposed that uses image deep learning to solve the problem of radio signal recognition.First,the radio signal was transformed into a two-dimensional picture,and the radio signal recognition problem was transformed into the object detection problem in the field of image recognition.Then,the advanced achievements about image recognition were used to improve the intelligence and ability of radio signal recognition in complex electromagnetic environment.Based on the proposed idea,a novel radio signal recognition algorithm named RadioImageDet was proposed.The experimental results show that the algorithm can effectively identify the waveform types and time/frequency coordinates of radio signals.After training and testing on the self-collected data set with 12 types and 4 740 samples,the accuracy reaches 86.04% and the mAP value reaches 77.72,while the detection time is only 33 ms on the medium configured desktop computer. |
| format | Article |
| id | doaj-art-374ad139bb9d4495b0ec943a819bdf6f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-374ad139bb9d4495b0ec943a819bdf6f2025-01-14T07:17:20ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-07-014011412559728433Radio signal recognition based on image deep learningXin ZHOUXiaoxin HEChangwen ZHENGA technical idea was innovatively proposed that uses image deep learning to solve the problem of radio signal recognition.First,the radio signal was transformed into a two-dimensional picture,and the radio signal recognition problem was transformed into the object detection problem in the field of image recognition.Then,the advanced achievements about image recognition were used to improve the intelligence and ability of radio signal recognition in complex electromagnetic environment.Based on the proposed idea,a novel radio signal recognition algorithm named RadioImageDet was proposed.The experimental results show that the algorithm can effectively identify the waveform types and time/frequency coordinates of radio signals.After training and testing on the self-collected data set with 12 types and 4 740 samples,the accuracy reaches 86.04% and the mAP value reaches 77.72,while the detection time is only 33 ms on the medium configured desktop computer.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019167/radio signal recognitiondeep learningradio frequency machine learningconvolutional neural networkimage object detection |
| spellingShingle | Xin ZHOU Xiaoxin HE Changwen ZHENG Radio signal recognition based on image deep learning Tongxin xuebao radio signal recognition deep learning radio frequency machine learning convolutional neural network image object detection |
| title | Radio signal recognition based on image deep learning |
| title_full | Radio signal recognition based on image deep learning |
| title_fullStr | Radio signal recognition based on image deep learning |
| title_full_unstemmed | Radio signal recognition based on image deep learning |
| title_short | Radio signal recognition based on image deep learning |
| title_sort | radio signal recognition based on image deep learning |
| topic | radio signal recognition deep learning radio frequency machine learning convolutional neural network image object detection |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019167/ |
| work_keys_str_mv | AT xinzhou radiosignalrecognitionbasedonimagedeeplearning AT xiaoxinhe radiosignalrecognitionbasedonimagedeeplearning AT changwenzheng radiosignalrecognitionbasedonimagedeeplearning |