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Sequential filtering for surface wind speed estimation from ambient noise measurement

  • Northwestern Polytechnical University Xian

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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.

Original languageEnglish
Pages (from-to)74-78
Number of pages5
JournalChina Ocean Engineering
Volume31
Issue number1
DOIs
StatePublished - 1 Mar 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • inversion
  • noise spectrum level
  • particle filtering
  • wind speed

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