Intra-pulse modulation recognition of radar signal based on random forest
To solve the existing problems of low recognition rate and noise problem in radar signal recognition,the fusion feature extraction method of time-frequency image and the random forest classifier is applied to the identification of radar signals.The radar signal time-frequency image was firstly extra...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016151/ |
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| _version_ | 1841529873139499008 |
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| author | Ge LIU Guoyi ZHANG Yan YU |
| author_facet | Ge LIU Guoyi ZHANG Yan YU |
| author_sort | Ge LIU |
| collection | DOAJ |
| description | To solve the existing problems of low recognition rate and noise problem in radar signal recognition,the fusion feature extraction method of time-frequency image and the random forest classifier is applied to the identification of radar signals.The radar signal time-frequency image was firstly extracted the shape features and texture features to anstitute fusion characteristics,into and then input fusioncharacteristics radom forest classifier recognition of the signal classification was realized.The results of simulation experiments for eight kinds of common radar signals to recognition show that recognition accuracy of the method proposed can be achieved more than 90% in SNR -2 dB,so it also verify the effectiveness of the method. |
| format | Article |
| id | doaj-art-428eee60383d4ecc9251b4e7c3bdfda7 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-428eee60383d4ecc9251b4e7c3bdfda72025-01-15T03:14:51ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-05-0132697859608777Intra-pulse modulation recognition of radar signal based on random forestGe LIUGuoyi ZHANGYan YUTo solve the existing problems of low recognition rate and noise problem in radar signal recognition,the fusion feature extraction method of time-frequency image and the random forest classifier is applied to the identification of radar signals.The radar signal time-frequency image was firstly extracted the shape features and texture features to anstitute fusion characteristics,into and then input fusioncharacteristics radom forest classifier recognition of the signal classification was realized.The results of simulation experiments for eight kinds of common radar signals to recognition show that recognition accuracy of the method proposed can be achieved more than 90% in SNR -2 dB,so it also verify the effectiveness of the method.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016151/radar signal recognitionime-frequency imagefusion featurerandom forest |
| spellingShingle | Ge LIU Guoyi ZHANG Yan YU Intra-pulse modulation recognition of radar signal based on random forest Dianxin kexue radar signal recognition ime-frequency image fusion feature random forest |
| title | Intra-pulse modulation recognition of radar signal based on random forest |
| title_full | Intra-pulse modulation recognition of radar signal based on random forest |
| title_fullStr | Intra-pulse modulation recognition of radar signal based on random forest |
| title_full_unstemmed | Intra-pulse modulation recognition of radar signal based on random forest |
| title_short | Intra-pulse modulation recognition of radar signal based on random forest |
| title_sort | intra pulse modulation recognition of radar signal based on random forest |
| topic | radar signal recognition ime-frequency image fusion feature random forest |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016151/ |
| work_keys_str_mv | AT geliu intrapulsemodulationrecognitionofradarsignalbasedonrandomforest AT guoyizhang intrapulsemodulationrecognitionofradarsignalbasedonrandomforest AT yanyu intrapulsemodulationrecognitionofradarsignalbasedonrandomforest |