Kalman Filter For Beginners With Matlab Examples Download Site

% Simulation parameters dt = 1; % time step (seconds) T = 50; % total time steps

% --- Update step --- x_est = x_pred + K * (z - x_pred); P_est = (1 - K) * P_pred; kalman filter for beginners with matlab examples download

x_history(k) = x_est; end

% --- Kalman gain --- K = P_pred / (P_pred + measurement_noise_std^2); % Simulation parameters dt = 1; % time

% Storage true_traj = zeros(1,T); meas_traj = zeros(1,T); est_traj = zeros(1,T); % Simulation parameters dt = 1

for k = 1:T % --- Simulate measurement (with noise) --- z = true_temp + measurement_noise_std * randn; meas_history(k) = z;