In my previous blog post I showed how to implement and use the extended Kalman filter (EKF) in R. In this post I will demonstrate how to fit unknown parameters of an EKF model by means of likelihood maximization.
Continue reading R code for estimating the parameters of an extended Kalman filter model using likelihood maximization
R code for implementing the extended Kalman filter
The code below implements the discrete-time extended Kalman filter (EKF) in R.
For numerical stability and precision the implemented EKF uses a Singular Value Decomposition (SVD) based square root filter. For a description of this SVD-based square root filter see Appendix B of Petris and colleagues’ 2009 book Dynamic linear models with R.
Continue reading R code for implementing the extended Kalman filter
R code for estimating the position of a moving object using the Kalman filter
The following R code may be used for estimating the position (and velocity) of a moving object by means of the Kalman filter.
The R code uses the Kalman filter implemented in the dlm package.
Continue reading R code for estimating the position of a moving object using the Kalman filter