When the data were processed with Kalman filtering method, the gross errors could be found in the forecasting residualvector.
用卡尔曼滤波方法进行数据处理时,观测值中的粗差将在预测残差向量中得到反映。
2
By analyzing the relationship of the Kalman filtering model errors and the forecasting residualvector, a method of detecting gross errors was proposed.
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 residualvector of observations.