摘要
根据随机介质理论可以导出开采引起的地表动态变形表达式。本文利用该式建立了适合动态数据处理的两种滤波模型,并把变形表达式中各参数扩充为滤波模型中的状态向量同时进行估计。两种模型的动态预报精度均高于传统方法,其中自适应模型更能明显改善预报精度。
Based on the theory of stochastic media, the formulae of terrene dynamic deformationby mining have been derived. According to the formulae two models of the Kalman fil-tering and adapative filtering fitting for dynamic data processing are established in thispaper. The parameters in the formulae, as the state vector of the filtering models, areestimated simultaneously. The dynamic predictive accuracy of two models is higher thanthe tranditional methods, and the model of adaptive filtering can improve the predictiveaccuracy significantly.
出处
《武汉测绘科技大学学报》
CSCD
1989年第2期10-19,共10页
Geomatics and Information Science of Wuhan University
关键词
矿山开采
动态变形
数据处理
dynamic deformation
model of filtering
dynamic prediction