JPDA Multi-Target Tracking with Practical Implementation

Target tracking is gaining significant importance across defense and civilian domains. In JPDA (Joint Probabilistic Data Association) multi-target tracking, classical algorithms are widely employed. While our implementation provides detailed JPDA algorithm logic including probabilistic data association and track management functions, practical applications require consideration of additional factors such as target velocity estimation, trajectory prediction models, and environmental influences. Therefore, we recommend that beginners studying JPDA algorithms should also explore other fundamental tracking methods like Kalman filters (for linear systems) and Particle filters (for non-linear scenarios). Furthermore, mastering code organization standards and annotation practices is crucial, as proper documentation enhances code readability and maintainability - key factors for successful real-world deployment. The implementation includes modular functions for gating, association probability calculation, and track updating with clear parameter descriptions.