Electromagnetic situation analysis and judgment based on deep learning
Abstract The electromagnetic situation, which can promote the abilities of understanding and decision‐making for the battlefield, has attracted significant interest recently in information‐based warfare. This paper investigates the deep learning‐based electromagnetic situation analysis and judgment...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-07-01
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| Series: | IET Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cmu2.12161 |
| _version_ | 1811224860842524672 |
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| author | Yuntian Feng Bing Li Qibin Zheng Dezheng Wang Xiong Xu Rongqing Zhang |
| author_facet | Yuntian Feng Bing Li Qibin Zheng Dezheng Wang Xiong Xu Rongqing Zhang |
| author_sort | Yuntian Feng |
| collection | DOAJ |
| description | Abstract The electromagnetic situation, which can promote the abilities of understanding and decision‐making for the battlefield, has attracted significant interest recently in information‐based warfare. This paper investigates the deep learning‐based electromagnetic situation analysis and judgment in a complicated battlefield environment. To comprehensively simulate the two‐sided battling process, a turn‐based confrontation strategy is proposed, and an electromagnetic situation analysis and judgment model are then designed based on the AlphaGo Zero algorithm to achieve efficient situation analysis and decision‐making. In addition, an electromagnetic situation‐based attack‐defense platform is developed to realize and evaluate this designed model. Simulation results demonstrate that this designed model achieves significant performance in electromagnetic situation analysis and judgment compared with the Monte Carlo Tree Search based baseline. |
| first_indexed | 2024-04-12T08:56:21Z |
| format | Article |
| id | doaj.art-97e4beca53874932bd4d2e2eb17613ba |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-04-12T08:56:21Z |
| publishDate | 2021-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-97e4beca53874932bd4d2e2eb17613ba2022-12-22T03:39:23ZengWileyIET Communications1751-86281751-86362021-07-0115111455146610.1049/cmu2.12161Electromagnetic situation analysis and judgment based on deep learningYuntian Feng0Bing Li1Qibin Zheng2Dezheng Wang3Xiong Xu4Rongqing Zhang5State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE) Luoyang ChinaSchool of Software Engineering Tongji University Shanghai ChinaSchool of Software Engineering Tongji University Shanghai ChinaSchool of Software Engineering Tongji University Shanghai ChinaState Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE) Luoyang ChinaSchool of Software Engineering Tongji University Shanghai ChinaAbstract The electromagnetic situation, which can promote the abilities of understanding and decision‐making for the battlefield, has attracted significant interest recently in information‐based warfare. This paper investigates the deep learning‐based electromagnetic situation analysis and judgment in a complicated battlefield environment. To comprehensively simulate the two‐sided battling process, a turn‐based confrontation strategy is proposed, and an electromagnetic situation analysis and judgment model are then designed based on the AlphaGo Zero algorithm to achieve efficient situation analysis and decision‐making. In addition, an electromagnetic situation‐based attack‐defense platform is developed to realize and evaluate this designed model. Simulation results demonstrate that this designed model achieves significant performance in electromagnetic situation analysis and judgment compared with the Monte Carlo Tree Search based baseline.https://doi.org/10.1049/cmu2.12161Data securityMilitary engineering computingNeural nets |
| spellingShingle | Yuntian Feng Bing Li Qibin Zheng Dezheng Wang Xiong Xu Rongqing Zhang Electromagnetic situation analysis and judgment based on deep learning IET Communications Data security Military engineering computing Neural nets |
| title | Electromagnetic situation analysis and judgment based on deep learning |
| title_full | Electromagnetic situation analysis and judgment based on deep learning |
| title_fullStr | Electromagnetic situation analysis and judgment based on deep learning |
| title_full_unstemmed | Electromagnetic situation analysis and judgment based on deep learning |
| title_short | Electromagnetic situation analysis and judgment based on deep learning |
| title_sort | electromagnetic situation analysis and judgment based on deep learning |
| topic | Data security Military engineering computing Neural nets |
| url | https://doi.org/10.1049/cmu2.12161 |
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