孙鹤泉,金绍华,张宇.基于 MODWT航行数据滤波方法变换的海洋重力观测[J].海洋通报,2020,(4):
基于 MODWT航行数据滤波方法变换的海洋重力观测
MODWT transform applied to navigation data filtering in ocean gravity observation
投稿时间:2019-09-03  修订日期:2020-02-10
DOI:10.11840/j.issn.1001-6392.2020.04.004
中文关键词:  海洋重力测量  最大重叠离散小波变换  厄特弗斯改正  Lipschitz 条件
英文关键词:marine gravimetry  maximal overlap discrete wavelet transform  EÖtvÖs correction  Lipschitz condition
基金项目:国家自然科学基金(41876103)
作者单位E-mail
孙鹤泉 海军大连舰艇学院 军事海洋与测绘系辽宁 大连 116018 hqsun@dlut.edu.cn 
金绍华 海军大连舰艇学院 军事海洋与测绘系辽宁 大连 116018  
张宇 海军大连舰艇学院 军事海洋与测绘系辽宁 大连 116018  
摘要点击次数: 501
全文下载次数: 176
中文摘要:
      厄特弗斯效应是动态海洋重力测量的主要误差来源,厄特弗斯改正精度与航速和航向角精度密切相关。本文从最大重叠离散小波变换系数的分布特性入手,利用改进的定量化 Lipschitz 条件来确定观测曲线的正则性,提出了一种海洋重力观测中含噪航行数据的滤波方法,该方法在抑制噪声干扰的同时能够很好地保留测量信号的局部特征。本文提供了两组海洋重力测量中航速和航向角数据的处理结果,充分验证了本文方法的可靠性与有效性。
英文摘要:
      The E?tv?s effect is the main error source in dynamic marine gravity observation. The accuracy of the E?tv?s correction is related closely to the accuracy of the ship speed and heading angle. By studying the characteristics of the maximal overlap discrete wavelet transform coefficients and using the improved quantitative Lipschitz condition to determine the regularity of the signal curve, this study presents a new method for navigation data filtering in marine gravity observation. The method can preserve the local signal features while reducing the noise components. Two sets of the original and processed data of the ship speed and heading angle in marine gravity observation are studied, fully verifying the reliability and effectiveness of the proposed method.
查看全文    下载PDF阅读器
关闭