Methodologies for Accurate Assessment of Target Characteristics

Award Information
Agency:
Department of Defense
Amount:
$99,998.00
Program:
SBIR
Contract:
HQ0147-12-C-7922
Solitcitation Year:
2011
Solicitation Number:
2011.2
Branch:
Missile Defense Agency
Award Year:
2012
Phase:
Phase I
Agency Tracking Number:
B112-039-0388
Solicitation Topic Code:
MDA11-039
Small Business Information
deciBel Research, Inc.
325 Bob Heath Drive, Huntsville, AL, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
121016096
Principal Investigator
 Andrew Harrison
 Principal Investigator
 (256) 489-6163
 contracts@dbresearch.net
Business Contact
 Debbie Agarwal
Title: Director of Contracts
Phone: (256) 489-6193
Email: dagarwal@dbresearch.net
Research Institution
 Stub
Abstract
Accurate knowledge of a target's radar signature is a critical issue in assessing the performance of the Ballistic Missile Defense (BMDS) system, and digital signature models continue are used extensively in simulation of BMDS elements. Though existing predictive signature codes are fast, they are limited in their ability to model non-specular scattering effects and dielectric materials. The need therefore exists for software codes that will correctly model these, while producing data quickly at the needed sampling rates. We propose to develop a predictive signature code, using the Method of Moments (MOM) and the Fast Multipole Method (FMM), that will address these issues. A key element of this new code will be its use of hardware and software acceleration strategies, leveraging threads, CPU vector instructions, and GPU computing. In Phase I, we will develop a proof-of-concept prototype software, and verify its validity using electromagnetic theory and measurements. The prototype software will be further developed and refined during the Phase II effort.

* information listed above is at the time of submission.

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