GNSS海洋反射信号接收机设计与分析

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Abstract Aiming at the requirements of global navigation satellite system(GNSS) marine reflection signal remote sensing technology,a GNSS marine reflection signal receiver is designed to receive GNSS direct and reflected signals.The Doppler delay mapping structure is the key component of the GNSS marine reflection signal receiver.The direct signal channel is closed-loop and the reflection signal channel is open-loop.The reflection signal channel uses the spread spectrum code and Doppler frequency of the direct signal channel to carry out correlation integration in half a C/A chip time to obtain the correlation peak waveform of the reflection signal.Due to the fact that the GNSS signal reflected from the sea surface is a collection of multiple different reflection signals,the correlation waveform of composite code is different from that of direct signal,and their position and shape contains oceanographic parameter information.By using this correlation function waveform,the sea surface wind field information can be calculated.GNSS ocean reflection signal receiver technology can provide technical support for fields such as marine environmental monitoring,basic surveying and mapping,and disaster monitoring.

Key words： GNSS reflected signal retrieval of sea surface wind field Doppler delay mapping marine environmental monitoring

Received: 16 March 2023

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TN911.72

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	Articles by authors
	Feng Xuzhe
	Chen Jianyun
	Li Xianbin
	Qu Zhi

Cite this article:

Feng Xuzhe,Chen Jianyun,Li Xianbin等. Design and analysis of GNSS marine reflection signal receiver[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(2): 109-114.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I2/109

[1]	JAMES L.GARRISON,ATTILA KOMJATHY,VALERY U.ZAVOROTNY,et al.Wind speed measurement using forward scattered GPS signals[J].IEEE trans actions on geoscience & remote sensing,2002,40(1):50-65.
[2]	XING JIN,YU BAOGUO,YANG DONGKAI,et al.A real-time GNSS-R system for monitoring sea surface wind speed and significant wave height[J].Sensors,2022,doi:103390/s22103795.
[3]	JOAN MUNOZ-MARTIN,ADRIANO CAMPS,et al.Sea surface salinity and wind speed retrievals using GNSS-R and L-Band microwave radiometry data from FMPL-2 onboard the FSSC at mission[J].Remote sensing,2021,doi:10.3390/rs14143299.
[4]	THOMAS MAXIMILLIAN ROBERTS,IAN COLWELL,CLARA CHEW,et al.A deep-learning approach to soil moisture estimation with GNSS-R[J].Remote sensing,2022,doi:org/10.3390/rs13163224.
[5]	YAN QINGYUN,HUANG WEIMIN.Sea ice thickness measurement using spaceborne GNSS-R:first results with TechDemoSat-1 data[J].IEEE journal of selected topics in applied earth observations and remote sensing,2020,13:577-587.
[6]	BULEAN MUSLIM,MOKHAMAD NUR CAHYADI,BAMBANG SUNARDI,et al.The simulation study of GNSS signal reflection in montoring sea levels and tsunami[J].Science of tsunami hazards,2020,39(4):192-209.
[7]	万玮,陈秀万,李国平,等.GNSS-R遥感国内外研究进展[J].遥感信息,2012,27(3):112-119.
[8]	ELLIOTT D.KAPLAN,CHRISTOPHER J.HEGARTY.GPS原理与应用(第二版)[M].寇艳红,译.北京:电子工业出版社,2007.