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Proceedings Paper

Identifying moving HRR signatures with an ATR belief data association filter
Author(s): Erik P. Blasch; John J. Westerkamp; Lang Hong; Jeffery R. Layne; Frederick D. Garber; Arnab Kumar Shaw
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Paper 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.

Paper Details

Date Published: 24 August 2000
PDF: 10 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396358
Show Author Affiliations
Erik P. Blasch, Air Force Research Lab. (United States)
John J. Westerkamp, Air Force Research Lab. (United States)
Lang Hong, Wright State Univ. (United States)
Jeffery R. Layne, Air Force Research Lab. (United States)
Frederick D. Garber, Wright State Univ. (United States)
Arnab Kumar Shaw, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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