On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer
Sea Surface Salinity (SSS) is a crucial parameter influencing ocean circulation and the global water cycle in global climate monitoring and oceanographic research. However, remote sensing of SSS is challenged by the impact of sea surface roughness on microwave radiation measurements. To enhance meas...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10697225/ |
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| author | Yongqing Liu Peng Liu Risheng Yun Te Wang Xiangkun Zhang |
| author_facet | Yongqing Liu Peng Liu Risheng Yun Te Wang Xiangkun Zhang |
| author_sort | Yongqing Liu |
| collection | DOAJ |
| description | Sea Surface Salinity (SSS) is a crucial parameter influencing ocean circulation and the global water cycle in global climate monitoring and oceanographic research. However, remote sensing of SSS is challenged by the impact of sea surface roughness on microwave radiation measurements. To enhance measurement accuracy, the Ocean 4A satellite is equipped with a digital beamforming scatterometer integrated with advanced active and passive microwave remote sensing instruments. This system provides timely sea surface roughness information through co-frequency observations, enabling real-time correction of radiometric measurement errors. In this study, we conduct an in-depth analysis of the on-orbit real-time signal processing technology of the spaceborne digital beamforming scatterometer, covering system architecture, real-time signal processing algorithms, and software optimization. The developed real-time signal processing algorithms demonstrate excellent performance, achieving high accuracy and reliability in data acquisition. Results from point target tests using a combined echo simulator and airborne calibration and validation confirm the effectiveness of the proposed methods. These findings lay a solid foundation for high-precision SSS measurements and showcase the potential of the Ocean 4A scatterometer in enhancing global climate monitoring capabilities. |
| format | Article |
| id | doaj-art-b65c27beb52b497a9ae9d04e07f5a057 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-b65c27beb52b497a9ae9d04e07f5a0572024-11-26T00:01:08ZengIEEEIEEE Access2169-35362024-01-011217354017355110.1109/ACCESS.2024.346937810697225On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming ScatterometerYongqing Liu0https://orcid.org/0000-0002-6824-2132Peng Liu1Risheng Yun2Te Wang3https://orcid.org/0009-0001-7277-684XXiangkun Zhang4https://orcid.org/0009-0002-4924-7381Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing, ChinaSea Surface Salinity (SSS) is a crucial parameter influencing ocean circulation and the global water cycle in global climate monitoring and oceanographic research. However, remote sensing of SSS is challenged by the impact of sea surface roughness on microwave radiation measurements. To enhance measurement accuracy, the Ocean 4A satellite is equipped with a digital beamforming scatterometer integrated with advanced active and passive microwave remote sensing instruments. This system provides timely sea surface roughness information through co-frequency observations, enabling real-time correction of radiometric measurement errors. In this study, we conduct an in-depth analysis of the on-orbit real-time signal processing technology of the spaceborne digital beamforming scatterometer, covering system architecture, real-time signal processing algorithms, and software optimization. The developed real-time signal processing algorithms demonstrate excellent performance, achieving high accuracy and reliability in data acquisition. Results from point target tests using a combined echo simulator and airborne calibration and validation confirm the effectiveness of the proposed methods. These findings lay a solid foundation for high-precision SSS measurements and showcase the potential of the Ocean 4A scatterometer in enhancing global climate monitoring capabilities.https://ieeexplore.ieee.org/document/10697225/Spaceborne scatterometerdigital beamformingon-orbit signal processing algorithmreal-time processing |
| spellingShingle | Yongqing Liu Peng Liu Risheng Yun Te Wang Xiangkun Zhang On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer IEEE Access Spaceborne scatterometer digital beamforming on-orbit signal processing algorithm real-time processing |
| title | On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer |
| title_full | On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer |
| title_fullStr | On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer |
| title_full_unstemmed | On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer |
| title_short | On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer |
| title_sort | on orbit real time signal processing for spaceborne digital beamforming scatterometer |
| topic | Spaceborne scatterometer digital beamforming on-orbit signal processing algorithm real-time processing |
| url | https://ieeexplore.ieee.org/document/10697225/ |
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