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| Content Provider | IET Digital Library |
|---|---|
| Author | Wang, Yafeng Sun, Boye Wang, Ning |
| Abstract | Radar application in modern warfare becomes more and more rigorous because of the rapidly developed radar countermeasures, especially active jamming in recent years. It costs a radar many resources for anti-jamming in order to detect a target. Hence, it is of great value to recognise the active jamming and thereafter take measures to distinguish target from the numerous jamming. Traditional methods of recognition jamming are blamed for its low efficiency and low accuracy. Radar researchers are looking forward to a new way to do the recognition work. Machine learning has made great advancements in many areas such as image classification, language translation, signal processing and many other recognition tasks, due to its great performance and high accuracy. The authors applied a machine learning method, i.e. convolutional neural networks, to recognise active jamming here. The authors’ results demonstrate that convolutional neural networks have strong ability to distinguish active jamming and thus provide them adequate preparation for anti-jamming process. |
| Starting Page | 7695 |
| Ending Page | 7697 |
| Page Count | 3 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 21, Nov (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/21 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0659 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-08-13 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Active Jamming Anti-jamming Process Computer Vision And Image Processing Technique Convolutional Neural Network Electrical Engineering Computing Electromagnetic Compatibility Electronic Countermeasures Image Classification Interference Jamming Knowledge Engineering Technique Learning in AI Neural Computing Technique Neural Nets Numerous Jamming Radar Active-jamming Radar Application Radar Computing Radar Equipment Radar Many ReSource Radar Researchers Radar Signal Processing Rapidly Developed Radar Countermeasures Recognition Jamming Signal Processing And Detection System And Application |
| Content Type | Text |
| Resource Type | Article |
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