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Proceedings Paper

Signature-aided tracking using HRR profiles
Author(s): Kevin J. Sullivan; Matthew B. Ressler; Robert L. Williams
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Paper Abstract

This paper describes a methodology for using high-range-resolution ground-moving-target-indicator (HRRGMTI) profiles to aid the association process in an automated tracker. The tracker uses a Kalman filter to estimate the state of targets. These state estimates are used in addition to HRRGMTI measurements to perform data association. The HRRGMTI profiles used to develop and test the system are simulated using the MSTAR dataset of synthetic aperture radar (SAR) imagery. The performance of the system was estimated using a computer simulation that modeled the radars, ground vehicles, and creation of HRRGMTI profiles. Performance relative to a tracker that uses only kinematic information to perform data association is computed and presented.

Paper Details

Date Published: 27 August 2001
PDF: 11 pages
Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); doi: 10.1117/12.438203
Show Author Affiliations
Kevin J. Sullivan, Toyon Research Corp. (United States)
Matthew B. Ressler, SRI International (United States)
Robert L. Williams, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4382:
Algorithms for Synthetic Aperture Radar Imagery VIII
Edmund G. Zelnio, Editor(s)

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