Target Tracking Simulation Program with IMM Algorithm Implementation

This document presents my MATLAB-developed target tracking simulation program, which implements core functionalities based on the Interactive Multiple Model (IMM) algorithm. The program architecture includes multiple model filtering, mode transition probability handling, and state estimation fusion modules. Key implemented functions feature model probability updating, Kalman filter banks for different motion patterns, and interactive mixing of state estimates. The simulation environment allows users to configure target dynamics, sensor models, and performance metrics for various tracking scenarios. The codebase provides utilities for trajectory generation, measurement simulation, and performance analysis with RMSE calculations. Comprehensive documentation covers algorithm initialization parameters, data association methods, and visualization tools for tracking results. I welcome feedback and suggestions to enhance the program's robustness and expand its capabilities for more practical applications.