GNSS-IR潮位反演中高仰角数据质量控制方法
A Data Quality Control Method for High Elevation Angle in GNSS-IR Tide Level Retrieval
赵涛 1叶世榕 1罗歆琪 1夏朋飞1
作者信息
- 1. 武汉大学卫星导航定位技术研究中心,湖北 武汉,430079
- 折叠
摘要
全球导航卫星系统干涉反射测量(global navigation satellite system-interferometric reflectometry,GNSS-IR)技术可利用信噪比(signal-to-noise ratio,SNR)数据包含的多路径信息反演潮位,但通常需限制仰角范围,导致可用数据量少以及时间分辨率不足.针对上述问题,提出一种数据质量控制方法,重构SNR残差序列获得仅受多路径影响的SNR序列,再设计并训练Transformer神经网络模型对数据进行分类,在潮位反演前筛除无效SNR数据,将高仰角数据纳入可用范围.实验表明,该方法可大幅度提升高仰角数据有效率,将反演站点的可用数据仰角范围扩展至5°～30°,从而显著提升可用数据量和潮位反演值的时间分辨率,对利用GNSS-IR技术的海啸、风暴潮实时监测等应用和长期海平面变化等海洋研究具有重要意义.
Abstract
Objectives:Global navigation satellite system-interferometric reflectometry(GNSS-IR)technolo-gy has become one of the effective methods to retrieve tide levels by utilizing multipath information in sig-nal-to-noise ratio(SNR)data.However,it is usually necessary to limit the elevation range,resulting in less usable data and insufficient time resolution.To solve the above problems,a preprocessing data quality control method is proposed.Methods:First,the significant difference between usable and unusable data is obtained through comparative analysis.Based on this difference,a GNSS-IR data quality control method is proposed to classify SNR data and screen out unusable data by data reconstruction and building a Trans-formermodel.Second,appropriate data sets are selected to verify and evaluate the effectiveness and generaliza-tion ability of the method.Results:The results show that there are significant differences in amplitude characteristics between usable and unusable data,and the proportion of usable SNR data for 5°-30° eleva-tion is significantly improved by the proposed method,thus extending the elevation range of usable data to 5°-30° at the inversion site.Conclusions:The proposed method significantly improves the amount of usable data and the time resolution of the GNSS-IR tide level retrieval method,which is of great significance for the application of GNSS-IR technology in real-time monitoring of tsunami and storm surge,as well as ma-rine studies such as long-term sea level changes.Moreover,the method is a preprocessing data quality con-trol method,which can identify and screen unusable data before tidal level retrieval,to break through the limitation that the post-processing method needs to accumulate SNR data for a long time.Therefore,it is better applicable to a scene where the tidal level changes dramatically in a short time,such as a tsunami.
关键词
GNSS干涉反射测量/潮位监测/Transformer模型/数据质量控制/高仰角Key words
GNSS-IR/tidal level monitoring/Transformer model/data quality control/high elevation angle引用本文复制引用
基金项目
国家自然科学基金(41974031)
测绘遥感信息工程国家重点实验室专项()
国家重点研发计划(2019YFC1509603)
出版年
2024
NETL
NSTL
维普
万方数据