Extended Kalman Filter, Particle Filter, Debias Kalman Filter, and Loop Gain Kalman Filter

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Resource Overview

Developed using MATLAB GUI, including source code for Extended Kalman Filter, Particle Filter, Debias Kalman Filter, and Loop Gain Kalman Filter. The GUI-based simulation program computes filtered values based on initial predictions and performs Kalman filtering through input observation values.

Detailed Documentation

This project is implemented using MATLAB GUI and includes source code for Extended Kalman Filter (EKF), Particle Filter (PF), Debias Kalman Filter, and Loop Gain Kalman Filter. The source programs calculate filtered values based on initial predictions and simulate Kalman filtering by processing input observation values. The implementation features key algorithms such as linearization techniques for EKF, sequential Monte Carlo methods for PF, and bias compensation mechanisms for debiasing variants. A user-friendly GUI interface program is provided, making these filtering algorithms more accessible and intuitive to use through interactive controls and real-time visualization of filtering results.

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