首页|复杂环境下结合EMD的GPS-IR水位反演方法

复杂环境下结合EMD的GPS-IR水位反演方法

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利用法国布雷斯特(Brest)港 BRST测站和英国塞文大桥监测系统GNSS双频观测数据,分别在静态和高动态环境下进行 GPS-IR 水位反演,探究传统GNSS监测系统进行水位反演的可行性与精度.结果表明:L1 波段反演精度高于L2 波段;在静态场景下,GPS-IR 水位反演结果与验潮站数据相关系数大于0.98,在高动态场景下,桥梁 GPS-IR 水位反演精度稍低.利用经验模态分解(EMD)方法对算法进行改进,提高了在桥梁复杂环境下 GPS-IR水位反演结果的精度,均方根误差(RMSE)相比经典方法降低约 50%.本文方法提高了 GPS-IR技术在不同水域环境下的适用性,在水位监测中具有很好的应用前景.
EMD-improved GPS-IR water level retrieval in complex environment
This paper uses the dual-frequency GNSS observation data of the France's BRST port and the UK's Sev-ern Bridge monitoring system to perform GPS-IR water level inversion in static and high dynamic environments,re-spectively,to explore the feasibility and accuracy of traditional GNSS monitoring system for water level inversion.The results show that the inversion accuracy of the L1 band is higher than that of the L2 band;in the static scene,the correlation coefficient between the GPS-IR water level inversion results and the tide gauge data is greater than 0.98;in the high dynamic scene,the retrieval accuracy of F001 station is slightly lower.Then the Empirical Mode Decomposition(EMD)is used to improve the accuracy of GPS-IR water level retrieval results in complex bridge environment,which can reduce the root mean square error by about 50%.The EMD-improved GPS-IR water level retrieval approach improves the applicability of GPS-IR technology in different water environments,and has a good application prospect in water level monitoring.

global positioning system interferometry reflectometry(GPS-IR)signal-to-noise ratio(SNR)empiri-cal mode decomposition(EMD)water level retrieval

李玉豪、王盼、张迪、唐旭

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南京信息工程大学 遥感与测绘工程学院,南京,210044

华设设计集团股份有限公司,南京,210014

全球定位系统干涉反射测量 信噪比 经验模态分解 水位反演

国家自然科学基金华设设计集团股份有限公司科技开放基金华设设计集团股份有限公司科研基金(D类)

41704024KY2021074KY2021043

2024

10.13878/j.cnki.jnuist.20220610001

南京信息工程大学学报
南京信息工程大学

南京信息工程大学学报

CSTPCD北大核心
影响因子：0.737
ISSN：1674-7070
年,卷(期)：2024.16(2)
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