An Efficient Kalman Filtering Algorithm for the Data Processing of Deformation Monitoring Nets

This paper presents the state model and deals with the data processing methods for various deformation monitoring nets and target tracking problems. Based on the matrix outer product method,an efficient filtering algorithm is developed to perform the state estimation and prediction of the state variables. The theoretical analysis and numerical results show the advantages over the conventional methods in terms of efficiency and numerical stability.