| 基于观测量校正的星载GNSS-R海面风速快速反演方法 |
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| 引用本文： | 谭承旦,罗瑞丹,李亚峰,袁超,杨光,田向伟. 基于观测量校正的星载GNSS-R海面风速快速反演方法[J]. 全球定位系统, 2021, 46(6): 90-97. DOI: 10.12265/j.gnss.2021071402 |
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| 作者姓名： | 谭承旦 罗瑞丹 李亚峰 袁超 杨光 田向伟 |
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| 作者单位： | 中国科学院空天信息创新研究院, 北京100094;中国科学院大学 电子电气与通信工程学院, 北京100049;中国科学院空天信息创新研究院, 北京100094;北京信息科技大学 自动化学院, 北京100192 |
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| 基金项目： | 国家自然科学基金 (41904033)； 中国科学院青年创新促进会(E03314020D) |
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| 摘 要： | 快速反演(FDI)算法是一种典型的星载全球卫星导航反射技术(GNSS-R)海面风速反演方法,具有计算复杂度低、快速实时反演的特点,但是FDI算法中的反演观测量提取精度不高,导致风速反演精度低.针对于此,提出基于观测量校正的改进FDI算法,用于实现海面风速的快速高精度反演.该方法首先利用辅助测量信息对观测量进行校正以降低...
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| 关 键 词： | 全球卫星导航系统(GNSS) 反射信号 海面风速 反演模型 观测量校正 |
| 收稿时间： | 2021-07-14 |
A fast spaceborne GNSS-R sea surface wind speed retrieval method based on observation correction |
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| Affiliation: | 1.Aerospace Information Research Institute, University of Chinese Academy of Sciences, Beijing 100094, China2.School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China3.School of Automation, Beijing Information Science and Technology University, Beijing 100192, China |
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| Abstract: | The fast-delivery inversion (FDI) algorithm is a typical spaceborne Global Navigation Satellite system Reflectometry (GNSS-R) sea surface wind speed inversion method, which has the characteristics of low computational complexity and fast processing. However, the retrieval observation extraction accuracy in FDI algorithm is low, which leads to low wind speed retrieval accuracy. In view of this, an improved FDI algorithm based on observation correction is proposed to realize the fast and high-precision retrieval of sea surface wind speed. In this method, firstly, the auxiliary measurement information is used to correct the observation to reduce the influence of interference factors, then the sea surface wind speed value is extracted from the ASCAT satellite wind speed data based on the statistical analysis method, and finally the geophysical model function (GMF) relationship between the sea surface wind speed and the corrected observation is established to realize the retrieval of sea surface wind speed. Compared with the traditional FDI algorithm, the wind speed retrieval bias of this method is smaller, and the root-mean-square error (RMSE) is reduced by 29%. |
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