Kalman Filter Target Tracking Source Code with MATLAB Implementation

In the following content, I will provide a detailed description of the MATLAB-based Kalman filter target tracking source code. Kalman filter is an algorithm used to estimate system states from a series of noisy measurements, widely applied in control and tracking systems. In this project, we implement Kalman filtering to track the position of a moving target, handling both position prediction and measurement updates through predefined system models. MATLAB serves as a powerful mathematical computing environment that offers numerous useful functions for scientists and engineers. We utilize MATLAB's matrix operations and plotting capabilities to implement the Kalman filter algorithm and visualize target tracking results in real-time. This project provides complete MATLAB source code for Kalman filter-based target tracking, enabling other researchers and engineers to use, modify, and enhance the algorithm. The implementation includes key functions such as state prediction (predict_step) and measurement update (update_step), with clear comments explaining the mathematical formulation. We hope this project contributes to the development of control and tracking systems while providing MATLAB users with a practical example demonstrating Kalman filter applications in real-world scenarios.