As part of a navigation and object tracking course at the University of Alabama and for educational purposes, I developed object tracking filters. Two separate stochastic object tracking filters were created inside an extended Kalman filter and compared in a high-clutter environment. The object tracking data consisted of a simulated two-dimensional dataset undergoing coordinated turns with an unknown turn rate. Shown on the right are the performances of the two tracking filters with the culltered environment overlayed.
