Identifying moving HRR signatures with an ATR belief data association filter

Erik P. Blasch; John J. Westerkamp; Lang Hong; Jeffery R. Layne; Frederick D. Garber; Arnab Kumar Shaw

doi:10.1117/12.396358

24 August 2000 Identifying moving HRR signatures with an ATR belief data association filter

Erik P. Blasch, John J. Westerkamp, Lang Hong, Jeffery R. Layne, Frederick D. Garber, Arnab Kumar Shaw

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396358
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Erik P. Blasch, John J. Westerkamp, Lang Hong, Jeffery R. Layne, Frederick D. Garber, and Arnab Kumar Shaw "Identifying moving HRR signatures with an ATR belief data association filter", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396358

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