Identifying moving HRR signatures with an ATR belief data association filter
Erik Blasch, John J. Westerkamp, Lang Hong, Jeffery R. Layne, Frederick D. Garber, Arnab K. Shaw · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
The goal of this paper is to demonstrate the benefits of a tracking and identification algorithm that uses a belief data association filter for target recognition. By associating track and ID information, the belief filter accumulates evidence for classifying High-Range Resolution (HRR) radar signatures from a moving target. A track history can be utilized to reduce the search space of targets for a given pose range. The technique follows the work of Mitchell and Westerkamp by processing HRR amplitude and location feature sets. The new aspect of the work is the identification of multiple moving targets of the same type. The conclusions from the work is that moving ATR from HRR signatures necessitates a track history for robust target ID.