Apply Kalman Filter to Data Processing in Similar Material Model

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.

关键词： Logistic model Kalman filter industrial photogrammetry dynamic subsidence similar material model

作者: Juan Wang Siyu Lai

作者单位: Department of Computer Science, China West Normal University, NanChong, China Deoartment of Medical imaging, North Sichuan Medical College, NanChong, China

会议类型: 国际会议

会议名称: 2nd International Conference on Polymer Composities and Polymer Testing (2013第二届高分子复合材料与高分子测试国际会议暨先进工业技术与方案国际会议)(ISPCPT2013)

会议地点: 太原

会议语种:英文

页码: 407-410

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）