TY - GEN
T1 - Sea Wind Measurement from Power Waveforms of GNSS-R Delay Signals of Beidou GEO Satellite
AU - Islam, Mohammad Shohidul
AU - Yang, Dongkai
AU - Farooq, Salma Zainab
AU - Masum, S. M.Injamamul Haque
AU - Siddika, Sultana Easmin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/20
Y1 - 2018/9/20
N2 - T205 remote sensing of global navigation satellite system is an important technical tool to retrieve information from earth's surface. By this time, this technique has achieved more advancement for sea state monitoring, especially for sea wind measurement, sea wave height measurement, sea roughness measurement and so on. In this paper, this technique is proposed to retrieve information from water surface. In order to estimate sea wind speed from GNSS delay signals, it is mainly generated the power waveforms of direct and reflected signals of Beidou GEO satellite. It's observed that the pattern (amplitude shape) characteristics of these power waveforms are clearly different for different sea weather conditions, which indicates that there is a direct relationship between amplitude of the waveforms and sea wind conditions. It is utilized the Z-V scattering model and Tanos Elfouhaily wave spectrum model to generate the waveforms of reflected signals. It is also collected the real wind speed of the experiment site for same time of GNSS-R data collection. Then linear regression method is used to fit the amplitude of power waveforms with real wind speed and the sea wind is estimated. The estimated wind speeds are matched closely with real wind speed and model waveforms and real data waveforms have performed a good matching each other.
AB - T205 remote sensing of global navigation satellite system is an important technical tool to retrieve information from earth's surface. By this time, this technique has achieved more advancement for sea state monitoring, especially for sea wind measurement, sea wave height measurement, sea roughness measurement and so on. In this paper, this technique is proposed to retrieve information from water surface. In order to estimate sea wind speed from GNSS delay signals, it is mainly generated the power waveforms of direct and reflected signals of Beidou GEO satellite. It's observed that the pattern (amplitude shape) characteristics of these power waveforms are clearly different for different sea weather conditions, which indicates that there is a direct relationship between amplitude of the waveforms and sea wind conditions. It is utilized the Z-V scattering model and Tanos Elfouhaily wave spectrum model to generate the waveforms of reflected signals. It is also collected the real wind speed of the experiment site for same time of GNSS-R data collection. Then linear regression method is used to fit the amplitude of power waveforms with real wind speed and the sea wind is estimated. The estimated wind speeds are matched closely with real wind speed and model waveforms and real data waveforms have performed a good matching each other.
KW - GNSS-R
KW - power waveforms
KW - scattering model
KW - wave spectrum model
KW - wind speed
UR - https://www.scopus.com/pages/publications/85055710921
U2 - 10.1109/IMCEC.2018.8469481
DO - 10.1109/IMCEC.2018.8469481
M3 - 会议稿件
AN - SCOPUS:85055710921
T3 - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
SP - 680
EP - 684
BT - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Y2 - 25 May 2018 through 27 May 2018
ER -