Sequential filtering for surface wind speed estimation from ambient noise measurement

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• 作者：Peng Xiao ; Kun-de Yang ; Zhi-xiong Lei
• 关键词：Key wordsparticle filtering ; wind speed ; noise spectrum level ; inversion
• 刊名：China Ocean Engineering
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：31
• 期：1
• 页码：74-78
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Offshore Engineering; Oceanography; Coastal Sciences; Fluid- and Aerodynamics; Marine & Freshwater Sciences; Numerical and Computational Physics, Simulation;
• 出版者：Chinese Ocean Engineering Society
• ISSN：2191-8945
• 卷排序：31

文摘

Many research results show that ocean ambient noise and wind speed are highly relevant, and the surface wind speed can be effectively inverted using ocean noise data. In most deep-sea cases, the ambient noise of medium frequency is mainly determined by the surface wind, and there is a conventional relationship between them. This paper gives an equation which shows this relationship firstly, and then a surface-wind inversion method is proposed. An efficient particle filter is used to estimate the speed distribution, and the results exhibit more focused close to the actual wind speed. The method is verified by the measured noise data, and analysis results showed that this approach can accurately give the trend of sea surface wind speed.