% Initialize the state and covariance x0 = [0; 0]; % initial state P0 = [1 0; 0 1]; % initial covariance
Let's consider a simple example where we want to estimate the position and velocity of an object from noisy measurements of its position. kalman filter for beginners with matlab examples download
% Define the system parameters dt = 0.1; % time step A = [1 dt; 0 1]; % transition model H = [1 0; 0 1]; % measurement model Q = [0.01 0; 0 0.01]; % process noise R = [0.1 0; 0 0.1]; % measurement noise % Initialize the state and covariance x0 =