A Kalman filter is an optimal estimation algorithm used to predict variables of interest (like position or velocity) when they cannot be measured directly or when available measurements are noisy. It works through a recursive two-step process: Predicting the next state based on a mathematical model and Updating that prediction with new, noisy sensor data. 1. Basic Concept for Beginners
MATLAB Toolboxes you will eventually need: A Kalman filter is an optimal estimation algorithm
Broad Coverage: Despite its "beginner" tag, it covers essential advanced topics, including the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) for nonlinear systems. it covers essential advanced topics
% Store results estimated_positions(k) = x_est(1); kalman_gains(k) = K(1);