This should be the first book you read on the subject. Once you finish it and run the MATLAB examples, you will be ready to tackle advanced texts like Probabilistic Robotics (Thrun) or Optimal State Estimation (Simon).
dt = 0.1; % Time step (seconds) A = [1 dt; 0 1]; % State transition matrix B = [dt^2/2; dt]; % Control input matrix (for acceleration) H = [1 0]; % Measurement matrix (we measure position only) kalman filter for beginners with matlab examples download
(measurement noise) is often done empirically. If your output is too jagged, increase your matrix value or decrease your This should be the first book you read on the subject
) . If your sensor is highly accurate, the filter trusts the measurement more. If your sensor is noisy, the filter leans on its mathematical prediction. The Mathematical Framework If your output is too jagged, increase your