Helmert方差分量估计在测量平差中的算法研究

摘要

Helmert（赫尔墨特）方差分量估计作为近代平差随机模型的验后估计，可以准确给出各类观测量之间的权比，提高平差结果的可靠性。文章就该模型在不同观测类型平差数据中的算法进行了探讨，在实际应用中具有重要的参考价值。%As the posteriori estimation of the modern adjustment random model, Helmert variance component estimation can provide the proportion of various observations accurately and improve the reliability of the adjustment results. This article discusses its algorithms of adjustment data in different observation types, which has important reference value in practical applications.