顾及起始数据误差和系统误差影响的动态平差模型

DYNAMIC ADJUSTMENT MODEL WITH RESPECT TO THE EFFECT OF THE PRIMARY DATUM ERROR AND THE SYSTEMATIC ERROR

变形监测中所得到的观测数据,可能同时含有随机误差和系统误差,因此处理这类观测数据时,顾及这种误差的影响是必要的。同时监测网中起始数据也含有误差,因此,也需顾及这种误差的影响。为此,本文讨论并提出了处理观测数据时同时顾及这两类误差影响的动态平差模型。并就它对移动参数影响作了分析。

Observational data obtained from the deformation monitoring may be subject to the random error and the systematic error, and it, therefore, is oecessare to take into consideration of the effect of these errors in processing this kind of obser vational data. In addition, the primary data in def ormation monitoring network also have errors, thus the effect of primary data errors have to be considered thw, this paper diecusses and proposes the dynamic adjustment model with consideration of the two kinds of errors in processing the obser vational data of a deformation monitoring network. And its effect for moving parameters is analgzed.