Multisensor multitarget tracking with central-to-local feedback

The effects on hierarchical tracking of the feedback of central track data to local tracking stations are studied here. The sensors are local radar stations that update local tracks from noisy measurements of range, azimuth and elevation. They send their current track data to the central tracking station, which fuses its own track predictions with the local data to update its central tracks. We study the two cases of with and without missing data via simulations that use low, medium and high levels of noise power. The results show that the feedback reduces the error between the central tracks and the actual trajectories by an average of about 50%.