Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP
In the field of radar emitter recognition, with the wide application of modern radar, the traditional recognition method based on typical five feature parameters cannot achieve satisfactory recognition results in a complex electromagnetic environment. Currently, many new feature extraction methods a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/11/1274 |
| _version_ | 1797532479261769728 |
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| author | Jian Xue Lan Tang Xinggan Zhang Lin Jin Ming Hao Youlin Gui |
| author_facet | Jian Xue Lan Tang Xinggan Zhang Lin Jin Ming Hao Youlin Gui |
| author_sort | Jian Xue |
| collection | DOAJ |
| description | In the field of radar emitter recognition, with the wide application of modern radar, the traditional recognition method based on typical five feature parameters cannot achieve satisfactory recognition results in a complex electromagnetic environment. Currently, many new feature extraction methods are presented, but few approaches have been applied for feature evaluation or performance comparison. To deal with this problem, a feature evaluation and selection method was proposed based on set pair analysis (SPA) theory and analytic hierarchy process (AHP). The main idea of this method is to use SPA theory to solve problems regarding the construction of the decision matrix based on AHP, as it relies heavily on expert’s subjective experience. The aim was to improve the objectivity of the evaluation. To check the effectiveness of the proposed method, six feature parameters were selected for a comprehensive performance evaluation. Then, the convolutional neural network (CNN) was introduced to validate the recognition capability based on the evaluation results. Simulation results demonstrated that the proposed method could achieve the feature analysis and evaluation more reasonably and objectively. |
| first_indexed | 2024-03-10T11:00:49Z |
| format | Article |
| id | doaj.art-bd6fe36fafaf4977bced5d284de68c8a |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T11:00:49Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-bd6fe36fafaf4977bced5d284de68c8a2023-11-21T21:33:40ZengMDPI AGElectronics2079-92922021-05-011011127410.3390/electronics10111274Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHPJian Xue0Lan Tang1Xinggan Zhang2Lin Jin3Ming Hao4Youlin Gui5Nanjing Research Institute of Electronics Technology, Nanjing 210039, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaNanjing Research Institute of Electronics Technology, Nanjing 210039, ChinaNanjing Research Institute of Electronics Technology, Nanjing 210039, ChinaNanjing Research Institute of Electronics Technology, Nanjing 210039, ChinaIn the field of radar emitter recognition, with the wide application of modern radar, the traditional recognition method based on typical five feature parameters cannot achieve satisfactory recognition results in a complex electromagnetic environment. Currently, many new feature extraction methods are presented, but few approaches have been applied for feature evaluation or performance comparison. To deal with this problem, a feature evaluation and selection method was proposed based on set pair analysis (SPA) theory and analytic hierarchy process (AHP). The main idea of this method is to use SPA theory to solve problems regarding the construction of the decision matrix based on AHP, as it relies heavily on expert’s subjective experience. The aim was to improve the objectivity of the evaluation. To check the effectiveness of the proposed method, six feature parameters were selected for a comprehensive performance evaluation. Then, the convolutional neural network (CNN) was introduced to validate the recognition capability based on the evaluation results. Simulation results demonstrated that the proposed method could achieve the feature analysis and evaluation more reasonably and objectively.https://www.mdpi.com/2079-9292/10/11/1274feature evaluationemitter recognitionset pair analysis (SPA)analytic hierarchy process (AHP)convolutional neural network (CNN) |
| spellingShingle | Jian Xue Lan Tang Xinggan Zhang Lin Jin Ming Hao Youlin Gui Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP Electronics feature evaluation emitter recognition set pair analysis (SPA) analytic hierarchy process (AHP) convolutional neural network (CNN) |
| title | Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP |
| title_full | Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP |
| title_fullStr | Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP |
| title_full_unstemmed | Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP |
| title_short | Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP |
| title_sort | feature evaluation and comparison in radar emitter recognition based on sahp |
| topic | feature evaluation emitter recognition set pair analysis (SPA) analytic hierarchy process (AHP) convolutional neural network (CNN) |
| url | https://www.mdpi.com/2079-9292/10/11/1274 |
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