摘要
通过研究影响代数重构方法的因素,如松弛因子、投影次序、停止规则、非负约束,针对水汽层析方程组的特点,提出一种基于分组排序的水汽层析约束ART算法(WVTART),并给出投影排序的去相关原则。实验分析证明,WVTART算法提高了收敛速度以及层析结果的精度。
Through the study of relaxation parameter, access order, stop rule, non-negativity constraints, as well as the characteristics of water vapor tomography, this paper proposes water vapor tomography constraint ART algorithm (WVTART) based on grouping and sorting. In order to obtain the global solution efficiently and robustly, observation equations should be sorted by the principle of un-correlation. The results verify that the WVTART method can improve the convergence speed and the accuracy of the solution.
出处
《大地测量与地球动力学》
CSCD
北大核心
2017年第5期482-486,491,共6页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41504032)
江苏省自然科学基金(BK20150175)
高等学校博士学科点专项科研基金(20130095110022)~~
关键词
水汽层析
ART算法
分组排序
非负约束
water vapor tomography
ART method
grouping and sorting
non-negativity constraints