GPS掩星大气探测中数据的平滑处理方法分析
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摘要
随着现代数据处理方法的不断完善,可应用于空基GPS掩星大气探测数据的平滑处理模型或方法越来越多,如局部平滑、大范围平滑、计算平滑等。针对这一现状,为了直观验证这些平滑方法的有效性,以一组空基GPS掩星观测的原始数据为例,利用MATLAB建立的平滑方法函数模型,通过比较几种典型的平滑处理模型的结果,检验其可行性与有效性,并分析了几种模型的适用范围。实验结果表明,采用不同的平滑处理方法处理掩星观测数据会得到不同的拟合真值曲线,应根据实际需要进行平滑处理方法的选择。
With the continuous improvement of modern data processing methods,more and more data smoothing models or methods can be applied to space-based GPS occultation and atmospheric exploration,such as local smoothing,wide-range smoothing and computational smoothing. In view of this situation,in order to verify the validity of these smoothing methods intuitively,taking a set of raw data of a certain space-based GPS occultation observation as an example,a function model of some classical smoothing methods was established using MATLAB,by comparing several typical smoothing methods. The effectiveness of the treatment method was tested to verify its feasibility and effectiveness,and the advantages and disadvantages of different methods were analyzed. The experimental results show that using different smoothing models to deal with occultation observations of different data sizes will achieve a more ideal smoothing effect.
With the continuous improvement of modern data processing methods,more and more data smoothing models or methods can be applied to space-based GPS occultation and atmospheric exploration,such as local smoothing,wide-range smoothing and computational smoothing. In view of this situation,in order to verify the validity of these smoothing methods intuitively,taking a set of raw data of a certain space-based GPS occultation observation as an example,a function model of some classical smoothing methods was established using MATLAB,by comparing several typical smoothing methods. The effectiveness of the treatment method was tested to verify its feasibility and effectiveness,and the advantages and disadvantages of different methods were analyzed. The experimental results show that using different smoothing models to deal with occultation observations of different data sizes will achieve a more ideal smoothing effect.
引文
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[2]徐晓华,刘树纶,罗佳.利用COSMIC掩星折射指数分析全球大气边界层顶结构变化[J].武汉大学学报·信息科学版,2018,43(1):94~100.
[3]乐新安,郭英华,曾桢等.近地空间环境的GNSS无线电掩星探测技术[J].地球物理学报,2016,59(4):1161~1188.
[4]范昆飞,易桂轩,孔建等.EGM2008和加权整体最小二乘在GPS高程拟合中的应用[J].城市勘测,2016(6):88~92.
[5]徐贤胜.GPS/LEO无线电掩星全息反演技术[D].上海:上海大学博士学术论文,2012:23~31.
[6]曲建光,郝燕玲.上边界的选取对GPS掩星反演结果影响的分析[J].测绘通报,2008(3):12~14.
[7]Cucurull L,Kuo YH,Barker D,et al.Assessing the Impact of Simulated Cosmic GPS Radio Occultation Data on Weather Analysis Over the Antarctic:A case Study[J].Monthly Weather Review,2006,134(11):3283~3296.
[8]Wickert,J.,C.Reigber,et al.Atmosphere Sounding by GPS Radio Occultation:First results from CHAMP[J].Geophys Res.Lett.,2001,28(17):3263~3266.
[9]秦显平,杨元喜.平方根滤波、平滑、双向滤波在LEO星载GPS定轨中的应用[J].武汉大学学报·信息科学版,2009,34(10):3~6.