Interactive Multiple Model Algorithm Kalman Filter Simulation

This text describes the characteristics of the Interactive Multiple Model (IMM) Kalman Filter simulation code. The program implements two distinct models that play crucial roles throughout the simulation process. The IMM algorithm's key feature is its dynamic switching capability between different models, which significantly enhances the algorithm's flexibility and adaptability to various environments and scenarios. The implementation typically involves model probability calculations, interaction/mixing of model states, and Kalman filter updates for each model. From a coding perspective, special consideration must be given to the algorithm's scalability and generalizability, ensuring future applications can be more flexible and adaptable through modular design patterns and parameterized model configurations. The code structure usually includes separate model definitions, probability update functions, and a main switching logic controller that determines model transitions based on current system behavior or measurement residuals.