摘要
提出基于抗差估计的Klobuchar-like电离层模型参数估计方法,借鉴与Klobuchar模型及其精化模型求解参数为分段条件的分段函数,进行无粗差、含单双粗差时最小二乘估计和抗差估计的Klobuchar-like电离层模型参数估计实验。结果表明,不论参与参数估计的数据中是否含粗差,基于抗差估计的参数估计方法均有良好的表现。
A parameter estimation method of Klobuchar like ionospheric model based on robust estimation is proposed in this paper, which can also be used for reference to the piecewise functions with the parameters as the subsection condition, such as Klobuchar model and its refined model. The parameter estimation experiment of Klobuchar like ionosphere model with no, one and two gross error（s）, by the least square estimation and the robust estimation is carried out. The result shows that the parameter estimation method based on robust estimation performs better regardless of whether there is gross error in the data for the parameter estimation. Therefore, it is suggested that parameter estimation methods based on robust estimation are used in the data where it is unknown whether the gross errors are involved in the data for the parameter estimation.
作者
刘宸
赵鹤
朱伟刚
刘长建
冯绪
LIU Chen;ZHAO He;ZHU Weigang;LIU Changjian;FENG Xu(Beijing Satellite Navigation Center,Beijing 100094,China;Information Engineering University,Zhengzhou 450001,China)
出处
《测绘工程》
CSCD
2018年第10期22-28,共7页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(41374041)
