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Proceedings Paper

Target variability and exact signature reproduction requirements for Ka-band radar data
Author(s): Robert H. Giles; William T. Kersey; M.Shane McFarlin; Robbin Finley; H. J. Neilson; William E. Nixon
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Paper Abstract

A variety of ATR algorithms have promise improved performance, not yet realized operationally. Typically, good results have been reported on data sets of limited size that have been tested in a laboratory environment, only to see the performance degrade when stressed with real-world target and environmental variability. To investigate exact signature reproduction requirements along with target and environment variability issues for stressing new ATR metrics, the U.S. Army's National Ground Intelligence Center (NGIC) and Targets Management Office (TMO) originated, sponsored, and directed a signature project plan to acquire multiple target full-polarimetric Ka-band radar signature data at Eglin AFB, as well as its submillimeter-wave compact radar range equivalent using high-fidelity exact 1/16th scale replicas fabricated by the ERADS program. To effectively understand signature reproduction requirements through the variability of multiple target RCS characteristics, TMO and NGIC sponsored researchers at U Mass Lowell's Submillimeter-Wave Technology Laboratory (STL) and Simulation Technologies (SimTech) to analyze the intra- class and inter-class variability of the full scale Ka-band turntable signature data. NGIC, TMO, STL and SimTech researchers then traveled to the location of the vehicles measured at Eglin AFB and conducted extensive documentation and mensuration on these vehicles. Using this information, ERADS built high fidelity, articulatable exact replicas for measurement in the NGIC's compact radar ranges. Signal processing software established by STL researchers in an NGIC directed signature study was used to execute an HRR and ISAR cross-correlation study of the field and scale-model signature data. The signature to signature variability quantified is presented, along with a description and examples of the signature analysis techniques exploited. This signature data is available from NGIC on request for Government Agencies and Government Contractors with an established need-to-know.

Paper Details

Date Published: 16 August 2001
PDF: 10 pages
Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); doi: 10.1117/12.436941
Show Author Affiliations
Robert H. Giles, Univ. of Massachusetts/Lowell (United States)
William T. Kersey, Univ. of Massachusetts/Lowell (United States)
M.Shane McFarlin, Simulation Technologies, Inc. (United States)
Robbin Finley, U.S. Army Simulation, Training, and Instrumentation Command (United States)
H. J. Neilson, U.S. Army National Ground Intelligence Ctr. (United States)
William E. Nixon, U.S. Army National Ground Intelligence Ctr. (United States)


Published in SPIE Proceedings Vol. 4380:
Signal Processing, Sensor Fusion, and Target Recognition X
Ivan Kadar, Editor(s)

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