Sequential Filtering for Surface Wind Speed Estimation from Ambient Noise Measurement |
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Authors: | XIAO Peng YANG Kun-de and LEI Zhi-xiong |
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Institution: | School of Marine Science and Technology, Northwestern Polytechnical University, Xi''an 710072, China,School of Marine Science and Technology, Northwestern Polytechnical University, Xi''an 710072, China and School of Marine Science and Technology, Northwestern Polytechnical University, Xi''an 710072, China |
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Abstract: | 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. |
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Keywords: | particle filtering wind speed noise spectrum level inversion |
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