测绘通报 ›› 2020, Vol. 0 ›› Issue (10): 114-117.doi: 10.13474/j.cnki.11-2246.2020.0331

• 技术交流 • 上一篇    下一篇

利用EMD进行GNSS-MR潮位监测研究

王瑞芳   

  1. 河南测绘职业学院, 河南 郑州 450015
  • 收稿日期:2020-04-16 出版日期:2020-10-25 发布日期:2020-10-29
  • 作者简介:王瑞芳(1981-),女,硕士,讲师,研究方向为GNSS反射测量。E-mail:239858379@qq.com
  • 基金资助:
    基于GPS的高铁控制测量数据处理及精度控制研究(2018GGJS282)

Research on GNSS-MR tide level monitoring based on EMD

WANG Ruifang   

  1. Henan College of Surveying and Mapping, Zhengzhou 450015, China
  • Received:2020-04-16 Online:2020-10-25 Published:2020-10-29

摘要: GNSS-MR是一种新兴的遥感手段,可利用多路径效应探测地表环境。该方法已应用于潮位探测,取得了不错的效果。针对该方法存在的信号混杂问题,本文提出了利用经验模态分解法提取信噪比中的海水信号,避免了噪声信号及海岸反射信号的影响,并以布设在美国华盛顿州Friday Harbor海港的SC02测站为例,对比分析了利用EMD方法及传统方法反演得到的潮位数据。研究结果表明,该方法使LSP结果的RMSE相较于传统方法提升了5.36%,可用于提取较为纯净的海面信号,在一定程度上提高了反演精度。

关键词: GNSS-MR, 多路径效应, 经验模态分解, 信噪比, 潮位变化

Abstract: As a new method of remote sensing, GNSS-MR can detect the surface environment with multipath effect. This method has been applied to tidal level detection and has achieved good results. Aiming at the signal mixing problem of this method, this paper proposes to use empirical mode decomposition to extract the seawater signal of the signal-to-noise ratio to avoid the influence of noise signal and coastal reflection signal. Taking the SC02 station, located in Friday Harbor, Washington, USA, as an example, the tidal level data obtained by inversion using EMD and traditional methods are compared and analyzed. The research results show that this method improves the RMSE of LSP results by 5.36% compared with the traditional methods, and proves that the method can be used to extract relatively pure signals of the sea surface and improve the inversion accuracy to a certain extent.

Key words: GNSS-MR, multipath effect, empirical mode decomposition, signal-to-noise ratio, tide variation

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