Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning
The performance of existing signal detection methods depends heavily on the amount of prior information acquired by the sensor of interest. Therefore, to improve cognitive radio-based detection in low-signal-to-noise (SNR) environments, we propose a deep learning method-based passive signal detectio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8753512/ |
| _version_ | 1819276290035810304 |
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| author | Da Ke Zhitao Huang Xiang Wang Xueqiong Li |
| author_facet | Da Ke Zhitao Huang Xiang Wang Xueqiong Li |
| author_sort | Da Ke |
| collection | DOAJ |
| description | The performance of existing signal detection methods depends heavily on the amount of prior information acquired by the sensor of interest. Therefore, to improve cognitive radio-based detection in low-signal-to-noise (SNR) environments, we propose a deep learning method-based passive signal detection. A convolution neural network (CNN) and the long short-term memory (LSTM) approach are used to extract the frequency and time domain features of the signal. Our method can detect signal when little to none prior information exists. The simulation experiments verify the probability of detection for our method. The results show that our method is about 4.5-5.5 dB better than a traditional blind detection algorithm under different SNR environments. |
| first_indexed | 2024-12-23T23:37:52Z |
| format | Article |
| id | doaj.art-912d787f6b754da39cb96e75b3607235 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:37:52Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-912d787f6b754da39cb96e75b36072352022-12-21T17:25:49ZengIEEEIEEE Access2169-35362019-01-017892188922510.1109/ACCESS.2019.29262968753512Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep LearningDa Ke0https://orcid.org/0000-0001-5149-0669Zhitao Huang1Xiang Wang2Xueqiong Li3https://orcid.org/0000-0002-2364-4947State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, ChinaState Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, ChinaState Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, ChinaState Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha, ChinaThe performance of existing signal detection methods depends heavily on the amount of prior information acquired by the sensor of interest. Therefore, to improve cognitive radio-based detection in low-signal-to-noise (SNR) environments, we propose a deep learning method-based passive signal detection. A convolution neural network (CNN) and the long short-term memory (LSTM) approach are used to extract the frequency and time domain features of the signal. Our method can detect signal when little to none prior information exists. The simulation experiments verify the probability of detection for our method. The results show that our method is about 4.5-5.5 dB better than a traditional blind detection algorithm under different SNR environments.https://ieeexplore.ieee.org/document/8753512/Cognitive radiodeep learningsignal detection |
| spellingShingle | Da Ke Zhitao Huang Xiang Wang Xueqiong Li Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning IEEE Access Cognitive radio deep learning signal detection |
| title | Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning |
| title_full | Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning |
| title_fullStr | Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning |
| title_full_unstemmed | Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning |
| title_short | Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning |
| title_sort | blind detection techniques for non cooperative communication signals based on deep learning |
| topic | Cognitive radio deep learning signal detection |
| url | https://ieeexplore.ieee.org/document/8753512/ |
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