This paper introduces the Kalman filter for beginners, covering its mathematical foundations, intuition, and practical implementation. It includes step‑by‑step MATLAB examples for a 1D constant‑velocity model and a simple 2D tracking example. Target audience: engineering or data‑science students with basic linear algebra and probability knowledge.
The Kalman Filter (KF) is the mathematical tool that answers this question. It is an optimal recursive algorithm that combines: Kalman Filter for Beginners (with MATLAB examples) Abstract
Chapter 4: The Drone Flies
MATLAB File Exchange Kalman Filter.