Kalman Filter For Beginners With Matlab Examples Download Top Better -

% plot figure; plot(true_traj(1,:), true_traj(2,:), '-k'); hold on; plot(meas(1,:), meas(2,:), '.r'); plot(est(1,:), est(2,:), '-b'); legend('True','Measurements','Estimate'); xlabel('x'); ylabel('y'); axis equal;

You have two options to get the complete code package, including more advanced examples (2D tracking, sensor fusion, non-linear systems using EKF). % plot figure

%% Simulation parameters dt = 0.01; % 10 ms time step t_end = 2; % 2 seconds of fall t = 0:dt:t_end; N = length(t); g = -9.81; % Gravity (m/s^2) including more advanced examples (2D tracking

% Generate True Data true_positions = initial_position + (0:n_iter-1) * true_velocity; N = length(t)