Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function
To solve the problem of fast detection of high maneuvering targets in complex ocean background,a radar target detection algorithm via sparse fractional ambiguity function (SFRAF) was proposed.The sparse Fourier transform (SFT) was introduced after instantaneous autocorrelation function calculation,w...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-08-01
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| Series: | Tongxin xuebao |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019156/ |
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| _version_ | 1841539372034293760 |
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| author | Xiaohan YU Xiaolong CHEN Jian GUAN Yong HUANG |
| author_facet | Xiaohan YU Xiaolong CHEN Jian GUAN Yong HUANG |
| author_sort | Xiaohan YU |
| collection | DOAJ |
| description | To solve the problem of fast detection of high maneuvering targets in complex ocean background,a radar target detection algorithm via sparse fractional ambiguity function (SFRAF) was proposed.The sparse Fourier transform (SFT) was introduced after instantaneous autocorrelation function calculation,which combines the advantages of SFT and fractional ambiguity function (FRAF).Therefore,SFRAF has good processing performance on high maneuvering signals and can achieve lower computational complexity.The simulation experiments and the measured data processing results show that compared with classical detection method,the detection performance of maneuvering target can be significantly improved,and compared with FRAF,the proposed method can achieve higher detection efficiency. |
| format | Article |
| id | doaj-art-a6c65a67d29945c986a6e49017fa4fb4 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a6c65a67d29945c986a6e49017fa4fb42025-01-14T07:17:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-08-0140728459728957Radar marine maneuvering target detection via high resolution sparse fractional ambiguity functionXiaohan YUXiaolong CHENJian GUANYong HUANGTo solve the problem of fast detection of high maneuvering targets in complex ocean background,a radar target detection algorithm via sparse fractional ambiguity function (SFRAF) was proposed.The sparse Fourier transform (SFT) was introduced after instantaneous autocorrelation function calculation,which combines the advantages of SFT and fractional ambiguity function (FRAF).Therefore,SFRAF has good processing performance on high maneuvering signals and can achieve lower computational complexity.The simulation experiments and the measured data processing results show that compared with classical detection method,the detection performance of maneuvering target can be significantly improved,and compared with FRAF,the proposed method can achieve higher detection efficiency.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019156/ |
| spellingShingle | Xiaohan YU Xiaolong CHEN Jian GUAN Yong HUANG Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function Tongxin xuebao |
| title | Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function |
| title_full | Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function |
| title_fullStr | Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function |
| title_full_unstemmed | Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function |
| title_short | Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function |
| title_sort | radar marine maneuvering target detection via high resolution sparse fractional ambiguity function |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019156/ |
| work_keys_str_mv | AT xiaohanyu radarmarinemaneuveringtargetdetectionviahighresolutionsparsefractionalambiguityfunction AT xiaolongchen radarmarinemaneuveringtargetdetectionviahighresolutionsparsefractionalambiguityfunction AT jianguan radarmarinemaneuveringtargetdetectionviahighresolutionsparsefractionalambiguityfunction AT yonghuang radarmarinemaneuveringtargetdetectionviahighresolutionsparsefractionalambiguityfunction |