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Sea Roughness Trend Measurement using power waveforms of GPS Direct and Reflected Signals

Sea Roughness Trend Measurement using Power Waveforms of GPS...

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第37届中国控制会议

作者： Mohammad Shohidul Islam Dongkai Yang S M Injamamul Haque Masum Sultana Easmin Siddika Rodolfo D.Moreno Santillan School of Electronic and Information Engineering Beihang University School of Economics and Management Beihang University International School Beihang University

Sea roughness trend measurement is important to understand the present and future sea state conditions. It can be considered as an advance process of sea surface bulletin and sea weather forecasting. In this research, sea surface roughness trend is measured according to the nature of power waveforms of GPS direct and reflected signals. Remote sensing technique is proposed to generate power waveforms of GPS direct and reflected signals. This technique has been utilizing as an effective technique to understand ＆ determine the sea state monitoring, especially for sea wind estimation, sea wave height measurement, sea roughness measurement and so on. The power waveforms are generated by Z-V scattering model. Mainly, two models are used to perform the whole process. At first, wave spectrum model is used to find sea surface slopes（up ＆ cross variance） and then scattering model is used to generate power waveforms using the up and cross variance. Sea surface roughness trend is determined using the features of the amplitudes of these waveforms. From the analysis, it is obtained that features of power waveforms are sharply different for different ocean surface weather conditions, which means that there is a relationship between amplitude of the waveforms and sea surface weather conditions. This relation is used to measure the sea roughness conditions. The results of this paper are found good performance compared to sea surface wind. The results of this research have also provided the preliminary idea about the sea surface and in future, the idea can help to measure the others ocean parameters.

关键词： GPS direct ＆ reflected signals power waveforms scattering model sea roughness trend

来源： cnki会议评论

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Sea Wind Speed Estimation from power waveforms of GNSS-R Delay Signals of Beidou MEO Satellite

Sea Wind Speed Estimation from Power Waveforms of GNSS-R Del...

引用

第37届中国控制会议

作者： Mohammad Shohidul Islam Dongkai Yang Sultana Easmin Siddika Rodolfo D.Moreno Santillan S M Injamamul Haque Masum School of Electronic and Information Engineering Beihang University School of Economics and Management Beihang University International School Beihang University

This paper focuses the characteristics of power waveforms according to different wind speed of sea surface and then sea wind speed is estimated from the amplitude of power waveforms. The power waveforms are generated from the delay signals of Beidou MEO satellite. The remote sensing of GNSS concept is utilized to get information from sea surface. Because, this technique has been already proved as an effective tool to retrieve significant information from earth’s surface since last twenty years. Still now, it has been utilizing as an advance technique for sea state monitoring, i.e. sea wind speed ＆ direction, sea wave height, sea roughness measurement and so on. It is mainly generated the waveforms of Beidou MEO satellite for direct and reflected signals. It is obtained that the amplitude ＆ shape of these power waveforms are varying according to wind speed. It is indicated that there is a sharp relationship between the amplitude of the waveforms and sea wind speeds. Two models are used to generate the waveforms from reflected signals. The wave spectrum model is used to find sea surface slopes i.e. up ＆ cross variance and these up ＆ cross variance is used as input on Z-V scattering model to generate power waveforms. The real wind speed of the experiment site of GNSS-R data collection for same time domain is also collected. The linear regression method is used to established a relationship between wind speeds and amplitudes of the waveforms. This relation is used to measure the sea wind speed. It is found that estimated wind speeds are matched closely with real wind speed and model waveforms performs good results with real data waveforms.

关键词： power waveforms reflected signals scattering model wave spectrum model wind speed

来源： cnki会议评论

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