基于GPS信噪比观测值的水位反演研究

程文

doi:DOI:10.13442/j.gnss.1008-9268.2020.01.018

基于GPS信噪比观测值的水位反演研究

doi: DOI:10.13442/j.gnss.1008-9268.2020.01.018

程文

中冶集团武汉勘察研究院有限公司,湖北武汉 430080

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出版历程
- 刊出日期: 2020-02-15

Research on water level inversion based on GPS SNR data

CHENG Wen

Wuhan Surveying-Geotechnical Research Institute Co., Ltd. of MCC, Wuhan 430080, China

摘要

摘要: 介绍了利用GPS信噪比(SNR)数据反演水位变化的原理．选取Calcasieu Pass GPS站的SNR数据反演水位变化,并与附近验潮站监测数据进行对比,两者表现出很好的一致性,两者的相关系数优于0.80,RMSE在8 cm左右,验证了基于GPS SNR数据监测海平面变化的可行性和可靠性,通过不同时段和时长的试验分析,证明了岸基GPS站可连续对水位进行监测．
- GPS-R /
- 信噪比 /
- 验潮站 /
- 海平面 /
- 水位变化
Abstract: The principle of inversion of water level changes using GPS signal-to-noise ratio data is described in detail. Comparing the water level change with the signal-to-noise ratio of the Calcasieu Pass GPS station and the data monitored by the tide station, they show good consistency. The correlation coefficient is better than 0.96, and the RMSE is about 8 cm. The results further validate the feasibility and reliability of monitoring sea level changes based on GPS signal-to-noise ratio data. Through the test and analysis of different periods and time length, it is proved that the shore based GPS station can continuously monitor the water level.
- GPS-R /
- SNR /
- tide station /
- sea level /
- water level change

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参考文献(12)

[1]	敖敏思,朱建军,胡友健. 利用SNR观测值进行GPS土壤湿度监测［J］. 武汉大学学报(信息科学版), 2015, 40(1):117-120，127.
[2]	匡翠林,刘凯,周要宗. 基于GPS信噪比数据观测海平面变化研究［J］. 海洋测绘, 2018，38(6):37-40.
[3]	南阳,张双成,张勤,等. GNSS多径反射探测海平面变化初探［J］. 测绘科学, 2015, 40(12):125-129.
[4]	王泽民,刘智康,安家春,等. 基于GPS和北斗信噪比观测值的雪深反演及其误差分析［J］. 测绘学报, 2018， 47(1):8-16.
[5]	张双成,南阳,李振宇,等. GNSS-MR技术用于潮位变化检测分析［J］. 测绘学报， 2016, 45(9):1042-1049.
[6]	周晓敏,郑南山,祁云,等. 利用GPS-R遥感技术反演植被生物量［J］. 测绘通报, 2018, (1):129-132,137.
[7]	LOFGREN J S,HAAS R, SCHERNECK H G. Sea level time series and ocean tide analysis from multipath signals at five GPS sites in different parts of the world［J］. Journal of Geodynamics, 2014(80):66-80.DOI: 10.1016/j.jog.2014.02.012.
[8]	LOFGREN J S, HAAS R. Sea level measurements using multi-frequency GPS and GLONASS observations［J］. EURASIP Journal on Advances in Signal Processing, 2014(1):50.DOI: 10.1186/1687-6180-2014-50.
[9]	LARSON K M, LOFGREN J S, HAAS R, Coastal sea level measurements using a single geodetic GPS receiver［J］. Advances in Space Research, 2013, 51(8):1301-1310.DOI: 10.1016/j.asr.2012.04.017.
[10]	LARSON K M, GUTMANN E D, ZAVOROTNY V U, et al. Can we measure snow depth with GPS receivers?［J］. Geophysical Research Letters, 2009, 36(17):L17502.DOI:10.1029/2009 GL039430.
[11]	ROESLER C, LARSON K M. Larson. Software tools for GNSS interferometric reflectometry (GNSS-IR)［J］. GPS Solutions, 2018, 22(3):80-90.DOI: 10.1007/s10291-018-07448.
[12]	LARSON K M, BRAUN J J, SMALL E E, et al. GPS multipath and its relation to near-surface soil moisture content［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010, 3(1): 91-99.DOI: 10.1109/JSTARS.2009.2033612.