摘要
在施工变形监测中 ,由于监测点的多余观测值较少 ,因此很难发现观测值中存在的粗差。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。通过分析卡尔曼滤波模型误差与预测残差向量之间的关系 ,提出了对粗差进行探测的方法 ,并通过一个实例说明了该方法的有效性。
For lack of redundant observations in construction deformation mon itoring,it is difficult to discover the gross errors in observation s. When the data were processed with Kalman filtering method, the gross errors c ould be found in the forecasting residual vector. By analyzing the relationsh ip of the Kalman filtering model errors and the forecasting residual vector, a method of detecting gross errors was proposed.Its effect was verified throug h an example.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2003年第3期89-91,共3页
Acta Scientiarum Naturalium Universitatis Sunyatseni
关键词
卡尔曼滤波
滤波模型
粗差
探测
Kalman filtering
filtering mode
gross error
detection
