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高噪声状态下潮汐信号提取

姜英明 高屹 黄令勇 侯晓伟 刘继州 杨磊

全球定位系统2024,Vol.49Issue(2):82-87,6.
全球定位系统2024,Vol.49Issue(2):82-87,6.DOI:10.12265/j.gnss.2023201

高噪声状态下潮汐信号提取

Tidal signal extraction under high noise conditions

姜英明 1高屹 1黄令勇 2侯晓伟 3刘继州 1杨磊4

作者信息

  • 1. 山东农业工程学院,济南 250100
  • 2. 地理信息工程国家重点实验室,西安 710054
  • 3. 上海导远智能系统有限公司,上海 200131
  • 4. 自然资源部第一海洋研究所,山东青岛 266061
  • 折叠

摘要

Abstract

In response to the accuracy issue in tidal signal calculation during Global Navigation Satellite System(GNSS)buoy ocean measurements,particularly in high-noise conditions affecting wave parameter calculations,this paper proposes a novel step detection and restoration method based on the sliding window cumulative sum(CUSUM)algorithm,which has been extensively utilized in non-intrusive load monitoring.The algorithm is applied to detect and correct step discontinuities in the sea surface height(SSH)obtained from precise point positioning(PPP)computations and the significant wave height(SWH)extracted from the SSH time series.The performance of the method is evaluated by comparing it with reference data from tide gauge stations and dedicated wave buoys.The results demonstrate that the proposed method significantly improves the accuracy and reliability of GNSS technology in inverting wave parameters.The root mean square error(RMSE)of SSH is enhanced by 75.5%,and the correlation is increased by 7.46%.Moreover,the RMSE of SWH is improved by 65.22%,and the correlation is boosted by 208.28%.These findings underscore the effectiveness of the proposed method in enhancing the accuracy of wave parameter extraction using GNSS technology.The method's implications for enhancing marine engineering safety and economic benefits are also highlighted,making it a valuable contribution to GNSS step detection and providing valuable insights into the extraction and application of tidal signals using GNSS technology.

关键词

全球卫星导航系统(GNSS)浮标/双边累计和(CUSUM)/精密单点定位(PPP)/有效波高/阶跃探测

Key words

GNSS buoy/cumulative sum(CUSUM)/precise-point-positioning/significant wave height/step detection

分类

天文与地球科学

引用本文复制引用

姜英明,高屹,黄令勇,侯晓伟,刘继州,杨磊..高噪声状态下潮汐信号提取[J].全球定位系统,2024,49(2):82-87,6.

基金项目

国家自然科学基金(41806214) (41806214)

全球定位系统

1008-9268

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