Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features
For communication emitter identification,a novel method based on Hilbert-Huang transform (HHT) and multi-scale fractal features was proposed.First,the time frequency energy spectrum was derived via HHT,which was called a complicated curved surface in the three-dimension space,namely,3D-Hilbert energ...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017080/ |
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| author | Jie HAN Tao ZHANG Huan-huan WANG Dong-fang REN |
| author_facet | Jie HAN Tao ZHANG Huan-huan WANG Dong-fang REN |
| author_sort | Jie HAN |
| collection | DOAJ |
| description | For communication emitter identification,a novel method based on Hilbert-Huang transform (HHT) and multi-scale fractal features was proposed.First,the time frequency energy spectrum was derived via HHT,which was called a complicated curved surface in the three-dimension space,namely,3D-Hilbert energy spectrum.Then,the differential box dimension and the multi-fractal dimension was extracted to compose the feature vector under multi-scale segmentation using fractal theory.Finally,communication emitter individual identification was obtained using the two dimensions of features above and the support vector machine (SVM).Moreover,the novel method was compared with two existing methods to identify simulated and actual signals with different and the same modulation modes,respectively.Results show that the identification rate of the novel method is higher than that of the two other methods.The features extracted by the novel method have high stability,sufficiency,and identifiability,also outweigh the negative effects of the change of signal-to-noise ratio and the number of training samples and emitters. |
| format | Article |
| id | doaj-art-6e98388927fe482c8eee51a392a181e6 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-6e98388927fe482c8eee51a392a181e62025-01-14T07:12:02ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-04-01389910959709165Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal featuresJie HANTao ZHANGHuan-huan WANGDong-fang RENFor communication emitter identification,a novel method based on Hilbert-Huang transform (HHT) and multi-scale fractal features was proposed.First,the time frequency energy spectrum was derived via HHT,which was called a complicated curved surface in the three-dimension space,namely,3D-Hilbert energy spectrum.Then,the differential box dimension and the multi-fractal dimension was extracted to compose the feature vector under multi-scale segmentation using fractal theory.Finally,communication emitter individual identification was obtained using the two dimensions of features above and the support vector machine (SVM).Moreover,the novel method was compared with two existing methods to identify simulated and actual signals with different and the same modulation modes,respectively.Results show that the identification rate of the novel method is higher than that of the two other methods.The features extracted by the novel method have high stability,sufficiency,and identifiability,also outweigh the negative effects of the change of signal-to-noise ratio and the number of training samples and emitters.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017080/specific emitter identification3D-Hilbert energy spectrummulti-scaledifferential box dimension |
| spellingShingle | Jie HAN Tao ZHANG Huan-huan WANG Dong-fang REN Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features Tongxin xuebao specific emitter identification 3D-Hilbert energy spectrum multi-scale differential box dimension |
| title | Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features |
| title_full | Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features |
| title_fullStr | Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features |
| title_full_unstemmed | Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features |
| title_short | Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features |
| title_sort | communication emitter individual identification based on 3d hibert energy spectrum and multi scale fractal features |
| topic | specific emitter identification 3D-Hilbert energy spectrum multi-scale differential box dimension |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017080/ |
| work_keys_str_mv | AT jiehan communicationemitterindividualidentificationbasedon3dhibertenergyspectrumandmultiscalefractalfeatures AT taozhang communicationemitterindividualidentificationbasedon3dhibertenergyspectrumandmultiscalefractalfeatures AT huanhuanwang communicationemitterindividualidentificationbasedon3dhibertenergyspectrumandmultiscalefractalfeatures AT dongfangren communicationemitterindividualidentificationbasedon3dhibertenergyspectrumandmultiscalefractalfeatures |