Hi everyone,
I am starting working with Kalman filters and I would like to ask you some clarifications about the concept of natural frequency of Kalman filters.Specifically I would like to know if it makes sense to talk about
natural frequency when I use an adaptive Kalman filter (with variable covariance matrix). I understood that the natural frequency concept makes sense in case of steady state ( namely when the covariance matrix is not changing anymore). So my doubt is what happens if I have a self tuning covariance matrix whose terms can change over time?In this case when I get the steady state and can I define a natural frequency?
I really hope you can help me!
Many thanks in advance,
Me