Apply Kalman Filter to Data Processing in Similar Material Model

被引：0

作者：

Wang, Juan ^{[1
]}

Lai, Siyu ^{[2
]}

机构：

[1] China West Normal Univ, Dept Comp Sci, Nanchong, Peoples R China

[2] North Sichuan Med Coll, Dept Med Imaging, Nanchong, Peoples R China

来源：

2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI) | 2012年

关键词：

Logistic model; Kalman filter; industrial photogrammetry; dynamic subsidence; similar material model;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Comprehensive analysis about Kalman filter model of discrete linear system is discussed in this paper. Firstly, the model is established based on the data of similar material model acquired from industrial close-up photogrammetry system. Then, look for solutions by encoding in Matlab platform. Finally, we conclude that the Kalman filter enjoys obvious denoising effect in data processing of similar material model, and the subsidence curve reflects actual situation of the simulation better. Comparing with the Logistic function fitting, the simulated results show that the proposed filtering model is accurate and effective.

引用

页码：520 / 522

页数：3