Statistical comparison of various interpolation algorithms for reconstructing regional grid ionospheric maps over China
Statistical comparison of various interpolation algorithms for reconstructing regional grid ionospheric maps over China
复制标题
中国区域网格电离层图各种插值算法重建的统计比较
DOI：
10.1016/j.jastp.2018.03.017
复制
发表时间：
2018-07-01
影响因子：
1.9
通讯作者：
Zhang, Xiao
中科院分区：
文献类型：
--
作者：
Li, Min;Yuan, Yunbin;Zhang, Xiao
本文对基于网格的中国电离层单壳模型的几种常用插值算法，即普通Kriging （OrK）、通用Kriging （UnK）、平面拟合和逆距离加权（IDW）进行了定量比较。实验数据来自中国地壳运动观测网（CMONOC）和国际全球导航卫星系统（IGS），数据覆盖了2015年60-90年。通过交叉验证，评估了这些插值算法的电离层校正性能和逐历元的单频精确点定位（PPP）精度。结果表明，该插值模型在中纬度地区优于低纬度地区。对于中国地区，OrK和UnK模型在估计电离层延迟和定位方面的性能相对优于平面拟合和IDW模型。此外，IDW和平面拟合模型的计算效率优于OrK和UnK模型。
This paper presents a quantitative comparison of several widely used interpolation algorithms, i.e., Ordinary Kriging (OrK), Universal Kriging (UnK), planar fit and Inverse Distance Weighting (IDW), based on a grid-based single-shell ionosphere model over China. The experimental data were collected from the Crustal Movement Observation Network of China (CMONOC) and the International GNSS Service (IGS), covering the days of year 60-90 in 2015. The quality of these interpolation algorithms was assessed by cross-validation in terms of both the ionospheric correction performance and Single-Frequency (SF) Precise Point Positioning (PPP) accuracy on an epoch-by-epoch basis. The results indicate that the interpolation models perform better at mid-latitudes than low latitudes. For the China region, the performance of OrK and UnK is relatively better than the planar fit and IDW model for estimating ionospheric delay and positioning. In addition, the computational efficiencies of the IDW and planar fit models are better than those of OrK and UnK.