基于DW特征参数的GNSS-R海面风速反演研究
|
摘要
传统上,机载风速反演一般使用相关功率曲线后沿直接匹配方法,该方法需从实测数据中提取状态信息生成理论波形,而从实测数据中提取状态信息是有误差的,导致生成的理论波形存在误差,从而反演效果不好。对此,提出一种新的基于一维时延功率波形特征参数的风速反演方法,该方法根据风速对一维时延功率曲线时延窗的影响,建立以一维时延功率曲线时延窗作为特征参数的风速反演模型。实验结果表明,新方法的精度为0.77 m/s,相比传统方法,精度提高了33.04%,且模型简单。
Traditionally,airborne sea surface wind speed inversion generally uses relevant power curve directly matching method,this methods need to extracted state information from the actual measurement data for generating theoretical waveform,however,the state information extracted from the actual measurement data is existed error,so that there is an error in the theoretical waveform,thus,the inversion result is not accurate. This paper proposed a new method of wind speed inversion based on one-dimensional delay power waveform characteristic parameters,the method was based on the influence of wind speed on delay window of one dimensional delay power curve,it established the inversion model of wind speed by using the time delay window of one dimension delay power curve as the characteristic parameter. The experimental results show that the accuracy of the new method is 0.77 m/s. Compared to traditional methods,the accuracy is improved by 33.04%,and the model is simple.
Traditionally,airborne sea surface wind speed inversion generally uses relevant power curve directly matching method,this methods need to extracted state information from the actual measurement data for generating theoretical waveform,however,the state information extracted from the actual measurement data is existed error,so that there is an error in the theoretical waveform,thus,the inversion result is not accurate. This paper proposed a new method of wind speed inversion based on one-dimensional delay power waveform characteristic parameters,the method was based on the influence of wind speed on delay window of one dimensional delay power curve,it established the inversion model of wind speed by using the time delay window of one dimension delay power curve as the characteristic parameter. The experimental results show that the accuracy of the new method is 0.77 m/s. Compared to traditional methods,the accuracy is improved by 33.04%,and the model is simple.
引文
[1]Martin-Neira M.A passive reflectometry and interferometry system(PARIS)application to ocean altimetry[J].ESA Journal,1993,17(4):331-355.
[2]边超磊,葛海波,陈瑞姣.基于PMF-FFT的高精度伪码捕获算法[J].电视技术,2016,40(1):62-66.(Bian Chaolei,Ge Haibo,Chen Ruijiao.High precision pseudorandom code acquisition algorithm based on PMF-FFT[J].TV Technology,2016,40(1):62-66.)
[3]李颖,朱雪瑗,曹妍,等.GNSS-R海洋遥感监测技术综述[J].海洋通报,2015,34(2):121-129.(Li Ying,Zhu Xueyuan,Cao Yan,et al.Summary of GNSS-R marine remote sensing monitoring technology[J].Ocean Bulletin,2015,34(2):121-129.)
[4]Egido A,Paloscia S,Motte E,et al.Airborne GNSS-R polarimetric measurements for soil moisture and above-ground biomass estimation[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(5):1522-1532.
[5]Fabra F,Cardellach E,Nogués-Correig O,et al.Monitoring sea-ice and dry snow with GNSS reflections[C]//Proc of IEEE International Geoscience and Remote Sensing Symposium.Piscataway,NJ:IEEEPress,2010:3837-3840.
[6]Martín-Neira M,Caparrini M,Font-RossellóJ,et al.The PARISconcept:an experimental demonstration of sea surface altimetry using GPS reflected signals[J].IEEE Trans on Geoscience and Remote Sensing,2001,39(1):142-150.
[7]黄健,张德海,孟进,等.一种新的基于FFT的高动态扩频信号捕获方法[J].电视技术,2015,39(9):113-116.(Huang Jian,Zhang Dehai,Meng Jin,et al.New acquisition method high dynamic spread spectrum signals based on FFT[J].TV Technology,2015,39(9):113-116.)
[8]周兆明,符养,严卫,等.利用GPS反射信号遥感Michael飓风海面风场研究[J].武汉大学学报:信息科学版,2006,31(11):991-994.(Zhou Zhaoming,Fu Yang,Yan Wei,et al.Remote sensing of sea surface wind of hurricane Michael by GPS signals[J].Journal of Wuhan University:Information Science Edition,2006,31(11):991-994.)
[9]杨东凯,张其善.GNSS反射信号处理基础与实践[M].北京:电子工业出版社,2012.(Yang Dongkai,Zhang Qishan.Fundamentals and practice of reflection signal processing in GNSS[M].Beijing:Electronics Industry Press,2012.)
[10]周晓中,李紫薇.机载GPS-R遥感海面风场实验[J].解放军理工大学学报:自然科学版,2011,12(1):84-89.(Zhou Xiaozhong,Li Ziwei.Experiment on wind remote sensing using GPS-R from aircraft platform[J].Journal of PLA University of Science and Technology:Natural Science Edition,2011,12(1):84-89.)
[11]Valencia E,Camps A,Marchan H J F,et al.Experimental determination of the sea correlation time using GNSS-R coherent data[J].Geoscience Remote Sensing Letters,2010,7(4):675-679.
[2]边超磊,葛海波,陈瑞姣.基于PMF-FFT的高精度伪码捕获算法[J].电视技术,2016,40(1):62-66.(Bian Chaolei,Ge Haibo,Chen Ruijiao.High precision pseudorandom code acquisition algorithm based on PMF-FFT[J].TV Technology,2016,40(1):62-66.)
[3]李颖,朱雪瑗,曹妍,等.GNSS-R海洋遥感监测技术综述[J].海洋通报,2015,34(2):121-129.(Li Ying,Zhu Xueyuan,Cao Yan,et al.Summary of GNSS-R marine remote sensing monitoring technology[J].Ocean Bulletin,2015,34(2):121-129.)
[4]Egido A,Paloscia S,Motte E,et al.Airborne GNSS-R polarimetric measurements for soil moisture and above-ground biomass estimation[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(5):1522-1532.
[5]Fabra F,Cardellach E,Nogués-Correig O,et al.Monitoring sea-ice and dry snow with GNSS reflections[C]//Proc of IEEE International Geoscience and Remote Sensing Symposium.Piscataway,NJ:IEEEPress,2010:3837-3840.
[6]Martín-Neira M,Caparrini M,Font-RossellóJ,et al.The PARISconcept:an experimental demonstration of sea surface altimetry using GPS reflected signals[J].IEEE Trans on Geoscience and Remote Sensing,2001,39(1):142-150.
[7]黄健,张德海,孟进,等.一种新的基于FFT的高动态扩频信号捕获方法[J].电视技术,2015,39(9):113-116.(Huang Jian,Zhang Dehai,Meng Jin,et al.New acquisition method high dynamic spread spectrum signals based on FFT[J].TV Technology,2015,39(9):113-116.)
[8]周兆明,符养,严卫,等.利用GPS反射信号遥感Michael飓风海面风场研究[J].武汉大学学报:信息科学版,2006,31(11):991-994.(Zhou Zhaoming,Fu Yang,Yan Wei,et al.Remote sensing of sea surface wind of hurricane Michael by GPS signals[J].Journal of Wuhan University:Information Science Edition,2006,31(11):991-994.)
[9]杨东凯,张其善.GNSS反射信号处理基础与实践[M].北京:电子工业出版社,2012.(Yang Dongkai,Zhang Qishan.Fundamentals and practice of reflection signal processing in GNSS[M].Beijing:Electronics Industry Press,2012.)
[10]周晓中,李紫薇.机载GPS-R遥感海面风场实验[J].解放军理工大学学报:自然科学版,2011,12(1):84-89.(Zhou Xiaozhong,Li Ziwei.Experiment on wind remote sensing using GPS-R from aircraft platform[J].Journal of PLA University of Science and Technology:Natural Science Edition,2011,12(1):84-89.)
[11]Valencia E,Camps A,Marchan H J F,et al.Experimental determination of the sea correlation time using GNSS-R coherent data[J].Geoscience Remote Sensing Letters,2010,7(4):675-679.