Kalman Filter For Beginners With Matlab Examples Download -

% Plot results plot(0:dt:50, true_position, 'g-', 'LineWidth', 2); hold on; plot(0:dt:50, measurements, 'rx'); plot(0:dt:50, estimated_positions, 'b--', 'LineWidth', 2); legend('True', 'Noisy GPS', 'Kalman Estimate'); xlabel('Time (s)'); ylabel('Position (m)'); title('Kalman Filter for Constant Velocity'); grid on;

% Initial state guess x = [0; 10]; % start at 0 m, velocity 10 m/s P = eye(2); % initial uncertainty kalman filter for beginners with matlab examples download

% Filter est_pos = zeros(size(t)); for k = 1:length(t) % Predict x = A * x; P = A * P * A' + Q; % Plot results plot(0:dt:50