多期复测重力与水准测量的自适应滤波方法

AN AUTOotDAPTION FILTERING APPROAGH TO THEPROCESSING OF MULTI-REPEATED GRAVIMEIRICAND LEVELLING DATA

本文从速率面的观点出发，把重力和高程的转换因子当为未知数，建立了多期复测重力和水准测量联合处理的动态方程和观测方程。顾及动态噪声和观测噪声的方差分量估计，提出了一种自适应滤波方法。最后对一个模拟网作了计算和分析。

Starting with the viewpoint of velocity surrace the dynamic and observation equa- tions for simultaneously processing multi-repeated gravimetric and levelling observations are established by taking the transformation factor between gravity and height as un- known. Taking into account the estimates of variance components of dynamic and observation noises. an auto-adaption filtering approach is proposed. Computation and analysis are made by taking a simulation network as an example.