| 基于 MODWT航行数据滤波方法变换的海洋重力观测 |
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| 引用本文： | 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). |
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| 作者姓名： | 孙鹤泉 金绍华 张宇 |
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| 作者单位： | 海军大连舰艇学院 军事海洋与测绘系，辽宁 大连 116018 |
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| 基金项目： | 国家自然科学基金（41876103） |
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| 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。
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| 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 |
| 收稿时间： | 2019/9/3 0:00:00 |
| 修稿时间： | 2020/2/10 0:00:00 |
MODWT transform applied to navigation data filtering in ocean gravity observation |
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| SUN Hequan,JIN Shaohu,ZHANG Yu.MODWT transform applied to navigation data filtering in ocean gravity observation[J].Marine Science Bulletin,2020(4). |
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| Authors: | SUN Hequan JIN Shaohu ZHANG Yu |
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| Institution: | Hydrography & Cartography, Department of Military Oceanography, Dalian Naval Academy, Dalian 116018, China |
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| Abstract: | 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. |
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