大型高精度GNSS基线向量网并行抗差估计  

Parallel Robust Estimation for Large-scale High-precision GNSS Baseline Vector Network

作　　者：崔阳[1] 吕志平[1] 张友阳[2] 李林阳[1] 

机构地区：[1]信息工程大学地理空间信息学院,河南郑州450001 [2]郑州轻工业学院机电工程学院,河南郑州450002

出　　处：《测绘学报》2015年第5期495-502,共8页Acta Geodaetica et Cartographica Sinica

基　　金：国家自然科学基金(41274015);国家863计划(2013AA122501)~~

摘　　要：针对大型GNSS基线向量网的特点,在改进的相关观测抗差估计RECO方案的基础上采用并行计算技术进行相关抗差估计的并行计算(简称"并行抗差估计"),并给出了可行的解算步骤。通过算例分析,验证了大型GNSS基线向量网的并行相关抗差估计,不仅有效抑制了观测异常对参数估值的影响,而且显著提高了计算效率。According to the characteristics of large-scale GNSS basel ine vector network,the relevant observations robust estimation model which is based on RECO scheme is improved by paral lel computing.A feasible process steps are also presented.Using the improved model,a numerical example is given.It is demonstrated that the large-scale GNSS basel ine vector related robust paral lel estimation not only can inhibit the influence of the outl iers to the parameter estimates,but also significantly improve the computa-tional efficiency.

关 键 词：相关抗差估计 GNSS 基线向量网 等价权矩阵 并行估计 

分 类 号：P228[天文地球—大地测量学与测量工程]