Ten-Minute Sea-Level Variations From Combined Multi-GNSS Multipath Reflectometry Based on a Weighted Iterative Least-Square Method
文献类型：期刊论文
| 作者 | Ye, Mingda1,2; Jin, Shuanggen1,3; Jia, Yan4 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 60页码:10 |
| 关键词 | Global Navigation Satellite System Multipath Reflectometry (GNSS-MR) sea level signal-to-noise ratio (SNR) tidal constituent weighted iterative least-square method |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2022.3194033 |
| 英文摘要 | Accurate and high-frequency sea-level monitoring is of great importance in ocean environments and global climatic studies, but traditional techniques have their respective limitations. In the last decades, the application of Global Navigation Satellite System Multipath Reflectometry (GNSS-MR) in sea-level monitoring has developed rapidly. Recently, more available GNSS signals are expected to bring new opportunities to improve its performance and achieve high spatial-temporal resolution. In this article, a new algorithm is developed to optimize the method of multi-GNSS multipath reflectometry and improve the precision and sampling rate for GNSS-MR sea-level monitoring. In order to make full use of the short-term multipath oscillation information, a sliding window is used to collect the signal-to-noise ratio (SNR) sequences. A weighted iterative least-square method is introduced to combine the selected SNR observations of GPS, GLONASS, Galileo, and BDS systems and retrieve sea level at 10-min intervals at BRST station for one year. A novel index called local kurtosis (LK) is proposed, which can be used to evaluate the quality of the Lomb-Scargle periodogram (LSP) and design the weight matrix in the least-square combinatorial process. Compared to using individual signals, the optimized combination algorithm decreased the root mean square error (RMSE) by 78%, from 0.610 to 0.134 m, and increased the correlation coefficient R-2 from 0.851 to 0.992. In addition, the tidal constituents monitored by multi-GNSS-MR and tide gauge are highly consistent, demonstrating that the multi-GNSS-MR can accurately retrieve daily and subdaily tidal constituents of periods longer than 10 min. |
| WOS关键词 | TIDE-GAUGE ; GPS MULTIPATH ; ALTIMETRY ; BAY |
| 资助项目 | Chinese Academy of Sciences[XDA23040100] ; Jiangsu Natural Resources Development Special Project[JSZRHYKJ202002] ; Shanghai Leading Talent Project[E056061] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000838672300009 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Natural Resources Development Special Project ; Jiangsu Natural Resources Development Special Project ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/87679]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Jin, Shuanggen |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China 2.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China 3.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China 4.Nanjing Univ Posts & Telecommun, Dept Surveying & Geoinformat, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ye, Mingda,Jin, Shuanggen,Jia, Yan. Ten-Minute Sea-Level Variations From Combined Multi-GNSS Multipath Reflectometry Based on a Weighted Iterative Least-Square Method[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:10. |
| APA | Ye, Mingda,Jin, Shuanggen,&Jia, Yan.(2022).Ten-Minute Sea-Level Variations From Combined Multi-GNSS Multipath Reflectometry Based on a Weighted Iterative Least-Square Method.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,10. |
| MLA | Ye, Mingda,et al."Ten-Minute Sea-Level Variations From Combined Multi-GNSS Multipath Reflectometry Based on a Weighted Iterative Least-Square Method".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):10. |
入库方式： OAI收割
来源：国家天文台
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