Effect analysis of different interpolation methods on height time series of CORS
Tian Hui · Cehui kexue · 2013
Interpolation method is of particularly importance when relatively more values are missing consecutively in the study of CORS time series of height component.In order to better solve this problem,the method of Orthogonal Polynomial Fitting was proposed.In this study,three interpolation methods,including Orthogonal Polynomial Fitting,Lagrange Interpolation and Cubic Spline Interpolation,were used for the interpolating of height components in time series respectively,the results were also fully compared and analyzed,and verified the feasibility and effectiveness of Orthogonal Polynomial Fitting Method,which clearly shows that,in the interpolation of height time series,Cubic Spline Method shows no advantage in either case,interpolation results of Lagrange Method and Orthogonal Polynomial Fitting are both good when 3 or below values are missing consecutively.With the increase of the number of missing values,Orthogonal Polynomial Fitting Method is better than the other two methods.