Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin
Electromagnetic space is an important link to empower and coordinate sea, land, air, space and network.Electromagnetic target recognition provides important radio target identity information for the twin construction of electromagnetic space, so that it can describe and depict the identity situation...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023227/ |
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| _version_ | 1841540057130860544 |
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| author | Guofeng WEI Guoru DING Yutao JIAO Yitao XU Daoxing GUO Peng TANG |
| author_facet | Guofeng WEI Guoru DING Yutao JIAO Yitao XU Daoxing GUO Peng TANG |
| author_sort | Guofeng WEI |
| collection | DOAJ |
| description | Electromagnetic space is an important link to empower and coordinate sea, land, air, space and network.Electromagnetic target recognition provides important radio target identity information for the twin construction of electromagnetic space, so that it can describe and depict the identity situation of electromagnetic targets in digital space.However, a single sensing node is vulnerable to interference, and its recognition performance is limited.Wrong recognition results will provide radio digital twin with conflicting identity information.Therefore, based on the requirements of radio digital twin in electromagnetic space, a radio target recognition framework for radio digital twin was constructed and a multi-sensing node convolution neural network individual identity fusion recognition algorithm was proposed.Compared with the nearest single sensing node, the recognition performance is improved by 6.29% by deploying the multi-node recognition network in the actual scene, which provides more accurate individual identity information. |
| format | Article |
| id | doaj-art-90a497a97e8e44f9bfd5f008ea3c39fe |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-90a497a97e8e44f9bfd5f008ea3c39fe2025-01-14T06:28:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-11-0144132459389342Multi-sensing node convolution fusion identity recognition algorithm for radio digital twinGuofeng WEIGuoru DINGYutao JIAOYitao XUDaoxing GUOPeng TANGElectromagnetic space is an important link to empower and coordinate sea, land, air, space and network.Electromagnetic target recognition provides important radio target identity information for the twin construction of electromagnetic space, so that it can describe and depict the identity situation of electromagnetic targets in digital space.However, a single sensing node is vulnerable to interference, and its recognition performance is limited.Wrong recognition results will provide radio digital twin with conflicting identity information.Therefore, based on the requirements of radio digital twin in electromagnetic space, a radio target recognition framework for radio digital twin was constructed and a multi-sensing node convolution neural network individual identity fusion recognition algorithm was proposed.Compared with the nearest single sensing node, the recognition performance is improved by 6.29% by deploying the multi-node recognition network in the actual scene, which provides more accurate individual identity information.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023227/convolution neural networkradio digital twinmulti-sensing nodeidentity fusion recognition |
| spellingShingle | Guofeng WEI Guoru DING Yutao JIAO Yitao XU Daoxing GUO Peng TANG Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin Tongxin xuebao convolution neural network radio digital twin multi-sensing node identity fusion recognition |
| title | Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin |
| title_full | Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin |
| title_fullStr | Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin |
| title_full_unstemmed | Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin |
| title_short | Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin |
| title_sort | multi sensing node convolution fusion identity recognition algorithm for radio digital twin |
| topic | convolution neural network radio digital twin multi-sensing node identity fusion recognition |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023227/ |
| work_keys_str_mv | AT guofengwei multisensingnodeconvolutionfusionidentityrecognitionalgorithmforradiodigitaltwin AT guoruding multisensingnodeconvolutionfusionidentityrecognitionalgorithmforradiodigitaltwin AT yutaojiao multisensingnodeconvolutionfusionidentityrecognitionalgorithmforradiodigitaltwin AT yitaoxu multisensingnodeconvolutionfusionidentityrecognitionalgorithmforradiodigitaltwin AT daoxingguo multisensingnodeconvolutionfusionidentityrecognitionalgorithmforradiodigitaltwin AT pengtang multisensingnodeconvolutionfusionidentityrecognitionalgorithmforradiodigitaltwin |