Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model
Sea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification. To address the challenge of existing filter parameters being unable to adapt in real-time to the characteristics of sea clutter, this paper i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/2/224 |
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| author | Guigeng Li Zhaoqiang Wei Yujie Chen Xiaoxia Meng Hao Zhang |
| author_facet | Guigeng Li Zhaoqiang Wei Yujie Chen Xiaoxia Meng Hao Zhang |
| author_sort | Guigeng Li |
| collection | DOAJ |
| description | Sea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification. To address the challenge of existing filter parameters being unable to adapt in real-time to the characteristics of sea clutter, this paper integrates ocean numerical models into the sea clutter spectrum estimation. By adjusting filter parameters based on the spectral characteristics of sea clutter, the accurate suppression of sea clutter is achieved. In this paper, the Weather Research and Forecasting (WRF) model is employed to simulate the ocean dynamic parameters within the radar detection area. Hydrological data are utilized to calibrate the parameterization scheme of the WRF model. Based on the simulated ocean dynamic parameters, empirical formulas are used to calculate the sea clutter spectrum. The filter coefficients are updated in real-time using the sea clutter spectral parameters, enabling precise suppression of sea clutter. The suppression algorithm is validated using X-band radar-measured sea clutter data, demonstrating an improvement factor of 17.22 after sea clutter suppression. |
| format | Article |
| id | doaj-art-8a641cf1d38f4e4892339a0fcdb73f7e |
| institution | DOAJ |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-8a641cf1d38f4e4892339a0fcdb73f7e2025-08-20T03:12:11ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-0113222410.3390/jmse13020224Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF ModelGuigeng Li0Zhaoqiang Wei1Yujie Chen2Xiaoxia Meng3Hao Zhang4Faculty of Information Science and Engineering, School of Electronic Engineering, Ocean University of China, Qingdao 266100, ChinaInstitute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, ChinaFaculty of Information Science and Engineering, School of Electronic Engineering, Ocean University of China, Qingdao 266100, ChinaFaculty of Information Science and Engineering, School of Electronic Engineering, Ocean University of China, Qingdao 266100, ChinaFaculty of Information Science and Engineering, School of Electronic Engineering, Ocean University of China, Qingdao 266100, ChinaSea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification. To address the challenge of existing filter parameters being unable to adapt in real-time to the characteristics of sea clutter, this paper integrates ocean numerical models into the sea clutter spectrum estimation. By adjusting filter parameters based on the spectral characteristics of sea clutter, the accurate suppression of sea clutter is achieved. In this paper, the Weather Research and Forecasting (WRF) model is employed to simulate the ocean dynamic parameters within the radar detection area. Hydrological data are utilized to calibrate the parameterization scheme of the WRF model. Based on the simulated ocean dynamic parameters, empirical formulas are used to calculate the sea clutter spectrum. The filter coefficients are updated in real-time using the sea clutter spectral parameters, enabling precise suppression of sea clutter. The suppression algorithm is validated using X-band radar-measured sea clutter data, demonstrating an improvement factor of 17.22 after sea clutter suppression.https://www.mdpi.com/2077-1312/13/2/224ocean dynamicsshore-based radarWRF modelsea clutter suppressionsea clutter spectrumdigital filter |
| spellingShingle | Guigeng Li Zhaoqiang Wei Yujie Chen Xiaoxia Meng Hao Zhang Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model Journal of Marine Science and Engineering ocean dynamics shore-based radar WRF model sea clutter suppression sea clutter spectrum digital filter |
| title | Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model |
| title_full | Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model |
| title_fullStr | Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model |
| title_full_unstemmed | Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model |
| title_short | Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model |
| title_sort | sea clutter suppression method based on ocean dynamics using the wrf model |
| topic | ocean dynamics shore-based radar WRF model sea clutter suppression sea clutter spectrum digital filter |
| url | https://www.mdpi.com/2077-1312/13/2/224 |
| work_keys_str_mv | AT guigengli seacluttersuppressionmethodbasedonoceandynamicsusingthewrfmodel AT zhaoqiangwei seacluttersuppressionmethodbasedonoceandynamicsusingthewrfmodel AT yujiechen seacluttersuppressionmethodbasedonoceandynamicsusingthewrfmodel AT xiaoxiameng seacluttersuppressionmethodbasedonoceandynamicsusingthewrfmodel AT haozhang seacluttersuppressionmethodbasedonoceandynamicsusingthewrfmodel |