SBIR/STTR Research Award

E*ability.com

Award identifier 24c0eee8d2d6f5056de66d3ee1a7a5cf8d8ed55820bd8a90afa6b785b3bacc35Awarding agency Department of Education

Award amount

$50,000

Program and phase

SBIR · Phase I

Award year

1999

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Award details

Awarding agency
Department of Education
Branch
Not reported
Recipient company
GOLDEN VENTURES INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Not Available In this Phase I proposal, we present a plan for the improvement, development, and integration of accurate signature modeling into existing Modeling & Simulation (M&S) tools that support space-based sensors. While existing M&S tools can presently model complex scenarios, multiple sensors and targets, accurate sensor motion, and targets with articulation, they do not necessarily incorporate high fidelity, accurate, wideband monostatic and bistatic signatures in the RF, IR, and spectral regions. Our plan includes the use, extension, and fixing of signature modeling approaches that have been developed, but whose performance levels need improvement. Our emphasis is on accuracy of the signature data, with particular attention to data compression techniques for monostatic and bistatic data sets. The entire approach pivots on the interplay of target tack information, which can be correlated to dynamic articulation (position of control surfaces, vector thrust geometry, etc.) to produce -via model-based methods - highly accurate time-varying signature data. This plan paves the way for a new set of tools that allow accurate, detailed modeling of targeting issues for space-based sensors, directly address data fusion, allow optimization of intelligence collection scenarios, provide cost reduction by replacing most testing with credible M&S, and provide EW effectiveness assessments.

Technology keywords

Not reported

Agency intelligence

Department of Education

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