At last, it gave some Suggestions about the data adjustment.
最后对数据调整也提出了建议。
Kalman filtering method is widely used in data adjustment of dynamic surveying system, whose unit variance is usually computed with innovation vector of parameters and residual vector of observations.
卡尔曼滤波方法已广泛应用于动态测量数据的处理,其单位权方差通常按新息向量和观测值的残差向量进行计算,增加了观测值残差向量的计算。
Our data evaluation and adjustment methods worked, but with considerable uncertainty.
本文的数据评估和调整方法有效,但仍存在相当大的不确定性。
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