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Signature Prediction and Uncertainty Analysis for Radar-based MDA Applications

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-09-C-7150
Agency Tracking Number: B083-035-0508
Amount: $99,997.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA08-035
Solicitation Number: 2008.3
Solicitation Year: 2008
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-03-27
Award End Date (Contract End Date): 2009-09-27
Small Business Information
2629 Townsgate Road Suite 105
Westlake Village, CA 91361
United States
DUNS: 005100560
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 vijaya shankar
 Vice President
 (805) 371-7556
Business Contact
 Vijaya Shankar
Title: Vice President
Phone: (805) 371-7556
Research Institution

A new, highly efficient physics-based approach is proposed for mapping the variation in RCS of MDA targets of interest over the full range of angle, frequency, geometry, and material properties relevant in missile defense scenarios. This approach implements recent developments in reduced-basis methodology (RBM) for Maxwell’s equations and combines the speed of RBM evaluations with the efficiency of stochastic collocation for uncertainty quantification to produce valid statistical measures of RCS variability, as well as RCS estimates of certified accuracy for each condition of observation. This RBM approach to RCS evaluation is built on generating accurate full-wave solutions for a small subset of the various parameters. In the proposed program, these solutions will be computed using the TEMPUS full-wave solver, which has demonstrated the ability to capture all the subtle effects of target structure on the radar return. For very large targets, the Cross-Flux technique will be used to combine TEMPUS and Xpatch solutions to produce an accurate hybrid solution. Speedup of the TEMPUS solver itself will be sought by implementing local time-stepping and variable-order local field representations. Porting the solver algorithms to a graphics card architecture will also be investigated, as that strategy offers speedups of 20 to 100.

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

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