| GPS浮标高程数据滤波窗函数选取方法 |
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| 引用本文： | 李浩,肖付民,夏伟,陈日高,张志伟.GPS浮标高程数据滤波窗函数选取方法[J].海洋测绘,2012,32(6):10-12. |
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| 作者姓名： | 李浩 肖付民 夏伟 陈日高 张志伟 |
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| 作者单位： | 1. 海军大连舰艇学院海洋测绘系,辽宁大连,116018
2. 92493 部队,辽宁葫芦岛,125000 |
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| 摘 要： | GPS浮标高程观测数据中含有大量的噪声,为了尽可能消除噪声影响和获取有效的潮位信息,尝试选用几种不同的窗函数数字低通滤波器对GPS浮标高程观测数据进行滤波。通过实例计算和结果比较,得出矩形窗具有较好的滤波效果。
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| 关 键 词： | GPS浮标 FIR数字低通滤波器 功率谱 窗函数 中误差 |
The Method of Choosing Window Function in Filtering GPS Buoy Height Data |
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| LI Hao,XIAO Fumin,XIA Wei,CHEN Rigao,ZHANG Zhiwei.The Method of Choosing Window Function in Filtering GPS Buoy Height Data[J].Hydrographic Surveying and Charting,2012,32(6):10-12. |
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| Authors: | LI Hao XIAO Fumin XIA Wei CHEN Rigao ZHANG Zhiwei |
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| Institution: | 1. Department of Hydrography and Cartography, Dalian Naval Academy, Dalian 116018, China; 2. 92493 Troops,Huludao 125000, China) |
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| Abstract: | There is a lot of noise in the data observed by GPS buoy measurement system. To delete or weaken the effect of noise and get effective tide information, five kinds of digital low pass FIR （ finite impulse response） filters based on different windows are choosed. By calculating measurement data and comparing calculating results, it is obtained that Itanning window has a better effect. |
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| Keywords: | GPS buoy digital low pass FIR filter power spectrum window function root mean square error |
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