自适应卡尔曼滤波模型的MATLAB编程实现

MATLAB PROGRAM REALIZATION OF ADAPTIVE KALMAN FILTERING MODEL

卡尔曼滤波作为一种动态数据处理方法已广泛应用于变形监测数据处理中,而自适应卡尔曼滤波能更好地解决滤波发散的问题。本文利用已有的多次沉降监测数据,通过MATLAB编程实现,建立模型,模拟建(构)筑物沉降的变化规律,为建(构)筑的安全提供可靠的分析数据。

Kalman filtering as a dynamic data processing method has been widely used in deformation-monitoring data processing,and adaptive Kalman filtering can better solve the problem of filtering divergence.Based on the existing multi-settlement-monitoring data,this paper establishes the adaptive Kalman filtering model,which is realized by MATLAB programming to simulate the variation law of settlement of a building(structure),thus providing reliable analytical data for the safety.