复杂环境下结合EMD的GPS-IR水位反演方法
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P228.4;P332.3

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国家自然科学基金(41704024);华设设计集团股份有限公司科技开放基金(KY2021074);华设设计集团股份有限公司D类科研基金项目(KY2021043)


EMD-improved GPS-IR water level retrieval in complex environment
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    摘要:

    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.

    Abstract:

    This paper uses the dual-frequency GNSS observation data of the France's BRST port and the UK's Severn Bridge monitoring system to perform GPS-IR water level inversion in static and high dynamic environments,respectively,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.

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引用本文

李玉豪,王盼,张迪,唐旭.复杂环境下结合EMD的GPS-IR水位反演方法[J].南京信息工程大学学报(自然科学版),2024,16(2):261-269
LI Yuhao, WANG Pan, ZHANG Di, TANG Xu. EMD-improved GPS-IR water level retrieval in complex environment[J]. Journal of Nanjing University of Information Science & Technology, 2024,16(2):261-269

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  • 收稿日期:2022-06-10
  • 在线发布日期: 2024-04-03
  • 出版日期: 2024-03-28

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