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High Fidelity Algorithm to Model the Statistical Variations of Ground Target Signatures in Scene Generator Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8651-17-C-0035
Agency Tracking Number: F161-102-0520
Amount: $749,986.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF161-102
Solicitation Number: 2016.1
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-08-08
Award End Date (Contract End Date): 2019-11-07
Small Business Information
P.O. Box 346
Calumet, MI 49913
United States
DUNS: 803724301
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kirk Weeks
 Director Florida Operations
 (850) 939-5800
Business Contact
 Chris Downs
Phone: (906) 337-3360
Research Institution

We will develop a suite of automated tools to produce multi-spectral target signatures with the variability inherent across a family of target types. Specifically, SGR will: characterize signature variability observed in five tracked and wheeled vehicles; determine sources of signature variability and define configuration variations needed; develop configuration parameters required to match modeled data; develop automated tools to manipulate geometry models; develop and evaluate an API to minimize impact on existing modeling and simulation framework; produce modeled signatures of six targets studied in Phase II; and validate tools developed and signatures modeled. The tools will manipulate intermediate files (e.g. facet files, mesh files) by articulating specific target assemblies to generate a series of compatible intermediate files. In order to accomplish realistic signature variability, articulation increments as well as minimum and maximum articulation ranges for components will be determined and incorporated in the tool. These parameters will be presented to users to allow selection of specific variations desired. The exported intermediate files (automatically generated by the tool) will then be imported and rendered using existing signature predictive codes (Xpatch, MuSES, Irma, etc.) to produce a series of target signatures with the requisite multi-spectral signature variability.

* Information listed above is at the time of submission. *

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