期刊文献+

地基GNSS-IR风速反演原理及方法初探 被引量:5

Preliminary study on theory and method of ground-based GNSS-IR wind speed
下载PDF
导出
摘要 随着全球导航卫星系统(Global Navigation Satellite Systems,GNSS)的发展,曾经被认为是误差源的多路径效应,已经被证实可以用来监测水位、雪深、植被指数、土壤湿度等反射面参数,其中的地基分支逐步发展为GNSS干涉遥感(GNSS-interferometry reflectometry,GNSS-IR)技术。为了扩展GNSS-IR技术的监测对象和应用范围,本文提出了一套地基GNSS-IR风速反演的原理及方法。首先,本文基于信噪比(signal-to-noise ratio,SNR)振荡原理、散射模型原理、波浪谱原理,从理论上证明了SNR截止高度角参数与风速之间存在一一对应的数学关系,并仿真得到了具体的数学关系。然后,本文使用小波分析方法从实测SNR序列中获取SNR截止高度角,并将同一GPS卫星、每天同一时间内SNR序列的截止高度角进行基准统一,获得截止高度角变化量;根据该变化量反演风速。算例选取香港HKQT站在“山竹”和“天鸽”台风前后时间的数据进行分析,结果发现:GPS L5信号的截止高度角变化量与实测风速数据对应关系良好,相关性达到70%~85%;截止高度角变化量可以刻画风速从低风速逐步抬升至高风速的变化情况;同一站点截止高度角变化量与风速之间存在特定的数学关系;相关结论证实了利用SNR可以估计风速变化。最后,本文讨论了GNSS-IR风速反演技术中下一步的研究方向,以期推进该技术的实际应用进程。 With the development of Global Navigation Satellite Systems(GNSS),the multipath effect that was once regarded as one error source has been proven can be used to monitor reflecting surface parameters such as water level,snow depth,vegetation water content,and soil moisture using a technology named GNSS-interferometry reflectomety(GNSS-IR).In order to expand monitoring objects and applications of GNSS-IR,this paper proposed the theory and method to retrieve wind speed using ground-based GNSS-IR.The theory includes the signal-to-noise ratio(SNR)multipath oscillation theory,the scattering model theory,and wave spectrum theory.This paper simulated the mathematical model between the SNR cutoff elevation angle and the wind speed,and used the wavelet analysis to extract SNR cutoff elevation angle and a unified method to unify reference of cutoff elevation angle.Data of HKQT station,located in Hong Kong,during the period of“Mangkhut”and“Hato”were used.The results showed that the variations of GPS L5 SNR cutoff elevation angles had a good corresponding relationship with the measured wind speeds,and the correlation coefficient reached 70%~85%.Also,the variations of cutoff elevation angles can describe the change of wind speed from low wind speed to high wind speed and there was a specific mathematical relationship between them.Finally,this paper discussed two difficulties to overcome in the GNSS-IR wind speed retrieval technology.
作者 王笑蕾 何秀凤 陈殊 张勤 宋敏峰 WANG Xiaolei;HE Xiufeng;CHEN Shu;ZHANG Qin;SONG Minfeng(School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China;College of Geology Engineering and Geomantic, Chang’an University, Xi’an 710054, China)
出处 《测绘学报》 EI CSCD 北大核心 2021年第10期1298-1307,共10页 Acta Geodaetica et Cartographica Sinica
基金 中央高校基本科研业务费专项(B200202015) 国家自然科学基金(42004018,41830110) 江苏省自然科学基金(BK20190496)。
关键词 GNSS干涉遥感 风速 多路径 信噪比 截止高度角 小波分析 GNSS-IR wind speed multipath signal-to-noise ratio masking angle wavelet analysis
  • 相关文献

参考文献10

二级参考文献58

  • 1严颂华,张训械.基于GNSS-R信号的土壤湿度反演研究[J].电波科学学报,2010,25(1):8-13. 被引量:19
  • 2袁林果,黄丁发,丁晓利,熊永良,钟萍,李成钢.GPS载波相位测量中的信号多路径效应影响研究[J].测绘学报,2004,33(3):210-215. 被引量:61
  • 3毕研盟,毛节泰,刘晓阳,符养,李成才.应用地基GPS遥感倾斜路径方向大气水汽总量[J].地球物理学报,2006,49(2):335-342. 被引量:44
  • 4宫晓艳,胡雄,吴小成,张训械.大气掩星反演误差特性初步分析[J].地球物理学报,2007,50(4):1017-1029. 被引量:25
  • 5Rodriguez-Alvarez N, Bosch-Lluis X, Camps A, et al. Soilmoisture retrieval using GNSS-R techniques: Experimental results over a bare soil field. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(11) : 3616-3624.
  • 6Grant M S, Acton S T, Katzberg S J. Terrain moisture classification using GPS surface-reflected signals. IEEE Geoscience and Remote Sensing Letters, 2007, 4(1): 41-45.
  • 7Walker J P, Kim E J, England A W. Introduction to the special issue on airborne field campaigns for soil moisture. IEEE Geoscience and Remote Sensing Letters, 2009, 6 (4): 623-624.
  • 8Lie-Chung S, Jyh Ching J, Ching Lang T, et al. Stream soil moisture estimation by reflected GPS signals with ground truth measurements. IEEE Transactions on Instrumentation and Measurement, 2009, 58(3) : 730-737.
  • 9Jacobs E, Stacey J M. Atmospheric Attenuation Models forSatellite-To-Earth I.inks. IEEE Transactions on Aerospace and Electronic Systems, 1974, 10(1) : 144-149.
  • 10Ulaby F T, Moore R K, Fung A K. Microwave Remote Sensing, Volume I, Microwave Remote Sensing Fundamentals and Radiometry. Addison-Wesley Publishing Company, 1981.

共引文献192

同被引文献60

引证文献5

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部