Maneuvering Target Tracking

With the rapid advancement of modern aviation, navigation, and aerospace technologies, coupled with the informatization and networking trends in contemporary warfare, maneuvering target tracking has garnered increasing attention worldwide, evolving into a highly active research domain. The core challenge of target tracking lies in state estimation through filtering techniques, where sensor-acquired measurement data is processed to achieve precise estimation of target states.

Tracking Filtering of CV Model Using Probabilistic Data Association and Nearest Neighbor Algorithms

Implementation of a CV (Constant Velocity) model with tracking filtering through probabilistic data association and nearest neighbor algorithms to ensure accuracy under various conditions.

MATLAB Implementation of Tracking Filter Method: Probabilistic Data Association

Tracking Filter Method: Probabilistic Data Association featuring robust encapsulation performance with configurable parameters and extensible capabilities for multi-target tracking in noisy environments.