Kalman filter with varying timesteps
For a Kalman filter it is useful to represent the input data with a constant time step. Your sensors send data randomly, so you can define the smallest significant time step for your system and discretize the time axis with this step. For example one of your sensors sends data approximately each 0.2 seconds and … Read more