GNSS浮标海潮高滤波光滑算法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

P229.5

基金项目:

山东省重点研发计划2019(重大科技创新工程)-海洋立体观测装备关键核心组合导航部件研发及应用示范(2019JZZY010809)


Research on Smoothing Algorithm of GNSS Buoy Sea Tide Height Filtering
Author:
Affiliation:

Fund Project:

Shandong Province Key R&D Program 2019 (Major Technological Innovation Project)-R&D and Application Demonstration of Key Core Integrated Navigation Components for Marine Stereo Observation Equipment (2019JZZY010809)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    GNSS浮标观测获取的实时海面高程数据中包含了潮汐、波浪和白噪声,其周期相差较大,可以通过滤波提取潮位信息。海面高作为一种非平稳和非线性的时间序列,常用的门限滤波、低通滤波、小波滤波等并不适用,经验模态分析法(EMD)适用于海面高分析,但容易存在模态混叠和分量冗余现象。本文基于改进的多指标多尺度排列熵算法(MMPE),分别与变分模态分解(VMD)和完全集合经验模态分解(CEEMD)结合,提出VMD+MMPE和CEEMD+MMPE两种降噪光滑模型。通过分析GNSS浮标数据的潮汐序列结果,并与小波分析重构潮位变化结果对比,其标准差分别为1.67cm和1.39cm,相关系数达到0.9996与0.9998,其中MMPE值分别为0.8988和0.9737。同时,通过三维频谱图的时频分析下,实验结果表明基于CEEMD+MMPE的算法具有更好的时频聚集性,在GNSS验潮数据处理方面具有较高的可行性和有效性。

    Abstract:

    The real-time sea surface elevation data obtained by GNSS buoy observation contains tides, waves and white noise, and their periods are quite different. The tide level information can be extracted through filtering. Sea level is a non-stationary and nonlinear time series, and the commonly used threshold filtering, low-pass filtering, wavelet filtering, etc. are not applicable. The Empirical Mode Decomposition (EMD) is suitable for sea level analysis, but it is prone to modal aliasing and component redundancy. In this paper, based on the improved Multi-index Multi-scale Permutation Entropy algorithm (MMPE), combined with Variational Modal Decomposition (VMD) and Complete Ensemble Empirical Modal Decomposition (CEEMD), two noise reduction smoothing models are proposed, VMD+MMPE and CEEMD+MMPE. By analyzing the tidal sequence results of GNSS buoy data and comparing them with the reconstructed tidal level change results of wavelet analysis, the standard deviations are 1.67 cm and 1.39 cm, and the correlation coefficients are 0.9996 and 0.9998. The MMPE values are 0.8988 and 0.9737, respectively. At the same time, through the time-frequency analysis of the three-dimensional spectrogram, the experimental results show that the algorithm based on CEEMD+MMPE has better time-frequency aggregation, and has higher feasibility and effectiveness in GNSS tide survey data processing.

    参考文献
    相似文献
    引证文献
引用本文

胡亮亮,王进,刘欢,等. GNSS浮标海潮高滤波光滑算法[J]. 科学技术与工程, 2021, 21(27): 11463-11471.
Hu Liangliang, Wang Jin, Liu Huan, et al. Research on Smoothing Algorithm of GNSS Buoy Sea Tide Height Filtering[J]. Science Technology and Engineering,2021,21(27):11463-11471.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-03-02
  • 最后修改日期:2021-07-01
  • 录用日期:2021-05-31
  • 在线发布日期: 2021-09-26
  • 出版日期:
×
律回春渐,新元肇启|《科学技术与工程》编辑部恭祝新岁!
亟待确认版面费归属稿件,敬请作者关注