Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar
Abstract In high frequency (HF) hybrid sky‐surface wave radar, the first‐order sea clutter broadening is severe under the action of ionospheric phase disturbance and bistatic angles. In this study, a spread sea clutter suppression method based on prior knowledge and joint domain localised (JDL) algo...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-05-01
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| Series: | IET Radar, Sonar & Navigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rsn2.12381 |
| _version_ | 1797822523027488768 |
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| author | Ya‐Jun Li Zhuo‐Qun Wang Lin Xu Wen‐Hao Zhang Zhu‐Hao Lu Zhi‐Cheng Wang |
| author_facet | Ya‐Jun Li Zhuo‐Qun Wang Lin Xu Wen‐Hao Zhang Zhu‐Hao Lu Zhi‐Cheng Wang |
| author_sort | Ya‐Jun Li |
| collection | DOAJ |
| description | Abstract In high frequency (HF) hybrid sky‐surface wave radar, the first‐order sea clutter broadening is severe under the action of ionospheric phase disturbance and bistatic angles. In this study, a spread sea clutter suppression method based on prior knowledge and joint domain localised (JDL) algorithm is proposed. Firstly, the first‐order sea clutter broadening mechanisms and model under the action of ionospheric phase disturbance and bistatic angles are introduced. Secondly, the space‐time coupling characteristics of the first‐order sea clutter is analysed. Then in order to better suppress clutter or avoid target information loss, the spread sea clutter suppression method based on space time adaptive processing is proposed. In the proposed method, the space‐time distribution characteristics and simulation model of the first‐order sea clutter is used as the prior knowledge into JDL algorithm to improve the sea clutter suppression performance. Finally, the performance of sea clutter suppression based on JDL algorithm is simulated and analysed. And the proposed spread sea clutter suppression method based on prior knowledge and JDL algorithm is proved by measured data. |
| first_indexed | 2024-03-13T10:10:20Z |
| format | Article |
| id | doaj.art-33c4fad18aab4d068c801ebd5d29efb0 |
| institution | Directory Open Access Journal |
| issn | 1751-8784 1751-8792 |
| language | English |
| last_indexed | 2024-03-13T10:10:20Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj.art-33c4fad18aab4d068c801ebd5d29efb02023-05-22T04:11:24ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922023-05-0117583084410.1049/rsn2.12381Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radarYa‐Jun Li0Zhuo‐Qun Wang1Lin Xu2Wen‐Hao Zhang3Zhu‐Hao Lu4Zhi‐Cheng Wang5East China Normal University Shanghai ChinaShanghai Institute of Radio Equipment Shanghai ChinaEast China Normal University Shanghai ChinaEast China Normal University Shanghai ChinaEast China Normal University Shanghai ChinaShanghai Institute of Radio Equipment Shanghai ChinaAbstract In high frequency (HF) hybrid sky‐surface wave radar, the first‐order sea clutter broadening is severe under the action of ionospheric phase disturbance and bistatic angles. In this study, a spread sea clutter suppression method based on prior knowledge and joint domain localised (JDL) algorithm is proposed. Firstly, the first‐order sea clutter broadening mechanisms and model under the action of ionospheric phase disturbance and bistatic angles are introduced. Secondly, the space‐time coupling characteristics of the first‐order sea clutter is analysed. Then in order to better suppress clutter or avoid target information loss, the spread sea clutter suppression method based on space time adaptive processing is proposed. In the proposed method, the space‐time distribution characteristics and simulation model of the first‐order sea clutter is used as the prior knowledge into JDL algorithm to improve the sea clutter suppression performance. Finally, the performance of sea clutter suppression based on JDL algorithm is simulated and analysed. And the proposed spread sea clutter suppression method based on prior knowledge and JDL algorithm is proved by measured data.https://doi.org/10.1049/rsn2.12381HF hybrid sky‐surface wave radarJDLprior knowledgespread sea clutter suppression |
| spellingShingle | Ya‐Jun Li Zhuo‐Qun Wang Lin Xu Wen‐Hao Zhang Zhu‐Hao Lu Zhi‐Cheng Wang Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar IET Radar, Sonar & Navigation HF hybrid sky‐surface wave radar JDL prior knowledge spread sea clutter suppression |
| title | Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar |
| title_full | Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar |
| title_fullStr | Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar |
| title_full_unstemmed | Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar |
| title_short | Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar |
| title_sort | spread sea clutter suppression via prior knowledge based space time adaptive processing in high frequency hybrid sky surface wave radar |
| topic | HF hybrid sky‐surface wave radar JDL prior knowledge spread sea clutter suppression |
| url | https://doi.org/10.1049/rsn2.12381 |
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