Specific emitter identification based on ITD and texture analysis
To solve the defects of time-frequency analysis and poor separability of extracted features in specific emitter identification (SEI) based on Hilbert-Huang transform (HHT)，a novel SEI method based on intrinsic time-scale decomposition(ITD)was proposed.ITD was utilized to decompose the emitter signal...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2017-12-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017299/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539492145528832 |
|---|---|
| author | Dong-fang REN Tao ZHANG Jie HAN Huan-huan WANG |
| author_facet | Dong-fang REN Tao ZHANG Jie HAN Huan-huan WANG |
| author_sort | Dong-fang REN |
| collection | DOAJ |
| description | To solve the defects of time-frequency analysis and poor separability of extracted features in specific emitter identification (SEI) based on Hilbert-Huang transform (HHT)，a novel SEI method based on intrinsic time-scale decomposition(ITD)was proposed.ITD was utilized to decompose the emitter signals and get the time-frequency energy distribution(TFED)firstly，later the TFED spectrum was transformed into gray image and several image texture features through histogram statistic and gray-level co-occurrence matrix was extracted for identification.Measured ship communication signals and simulated emitter signals were used to test the performance of proposed method.Compared with another two SEI methods based on HHT，the proposed method is proved more effective in identification accuracy. |
| format | Article |
| id | doaj-art-33d0f45bdc8e46e6afdbb3ec4df3c707 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-33d0f45bdc8e46e6afdbb3ec4df3c7072025-01-14T07:13:33ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-12-013816016859714191Specific emitter identification based on ITD and texture analysisDong-fang RENTao ZHANGJie HANHuan-huan WANGTo solve the defects of time-frequency analysis and poor separability of extracted features in specific emitter identification (SEI) based on Hilbert-Huang transform (HHT)，a novel SEI method based on intrinsic time-scale decomposition(ITD)was proposed.ITD was utilized to decompose the emitter signals and get the time-frequency energy distribution(TFED)firstly，later the TFED spectrum was transformed into gray image and several image texture features through histogram statistic and gray-level co-occurrence matrix was extracted for identification.Measured ship communication signals and simulated emitter signals were used to test the performance of proposed method.Compared with another two SEI methods based on HHT，the proposed method is proved more effective in identification accuracy.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017299/SEIITDTFED spectrumtexture analysis |
| spellingShingle | Dong-fang REN Tao ZHANG Jie HAN Huan-huan WANG Specific emitter identification based on ITD and texture analysis Tongxin xuebao SEI ITD TFED spectrum texture analysis |
| title | Specific emitter identification based on ITD and texture analysis |
| title_full | Specific emitter identification based on ITD and texture analysis |
| title_fullStr | Specific emitter identification based on ITD and texture analysis |
| title_full_unstemmed | Specific emitter identification based on ITD and texture analysis |
| title_short | Specific emitter identification based on ITD and texture analysis |
| title_sort | specific emitter identification based on itd and texture analysis |
| topic | SEI ITD TFED spectrum texture analysis |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017299/ |
| work_keys_str_mv | AT dongfangren specificemitteridentificationbasedonitdandtextureanalysis AT taozhang specificemitteridentificationbasedonitdandtextureanalysis AT jiehan specificemitteridentificationbasedonitdandtextureanalysis AT huanhuanwang specificemitteridentificationbasedonitdandtextureanalysis |