基于MATLAB的卡尔曼滤波在变形监测数据处理中的应用
首发时间:2011-09-05
摘要:在对变形观测目标的监测中,目标的位置、速度和瞬时加速率的观测量往往带有噪声。利用卡尔曼滤波结合目标的动态信息,去除噪声影响,可以得到关于目标位置的更好估计。结合滑坡变形监测实例,给出离散线性系统的卡尔曼滤波和动态测量系统的卡尔曼滤波的数学模型,并通过MATLAB编程实现了对观测数据的处理,结果显示滤波值和原始观测数据曲线变化趋于一致,该模型可用于变形监测数据精度的提高和对目标变形的预测。
For information in English, please click here
Application of KALMAN Filterring to data Processing of Deformation Observation Based on MATLAB
Abstract:Deformation observed in the monitoring of the target, the target position, velocity and acceleration rate of the instantaneous observations are often noisy. Target using Kalman filter with dynamic information, remove noise, can get a better estimate of target location. Combination of landslides deformation monitoring deformation monitoring instance, given the discrete Kalman filter and linear systems the Kalman filter dynamic measurement system, the mathematical model, and through MATLAB programming for the handling of observational data showed that filter values and the original observations are consistent curve, the model can be used for deformation monitoring data to improve the accuracy and deformation of the target forecast.
Keywords: Kalman filter Deformation monitoring Data processing
基金:
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
基于MATLAB的卡尔曼滤波在变形监测数据处理中的应用
评论
全部评论0/1000