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Hybridized Full Wave ? Asymptotic Electromagnetic (EM) Computational Engine for…

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
62929
Program Year/Program:
2003 / SBIR
Agency Tracking Number:
A022-0408
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Black River Systems Company, Inc.
162 Genesee Street Utica, NY 13502-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2003
Title: Hybridized Full Wave ? Asymptotic Electromagnetic (EM) Computational Engine for Antenna Computer Aided Design (CAD)
Agency / Branch: DOD / ARMY
Contract: DAAD19-03-C-003
Award Amount: $69,955.00
 

Abstract:

Black River Systems (with consultant Dr. Tapan Sarkar, and Stiefvater Consultants inc.) proposes to develop a hybrid electromagnetic modeling compute engine. This hybrid engine will model the small features of antenna/vehicle structure simultaneously withthe large environmental features, executing on both parallel processor and single CPU computers.Traditional computational electromagnetic analysis is performed exclusively in either the frequency or time domain. Extrapolation in either domain is sometimes numerically unstable, thus affecting accuracy. When both small and large features are modeled,the impedance and excitation matrices need to be simultaneously and accurately computed. Errors from using an approximate asymptotic method to characterize large structures can cause small features in the solution to be completely masked. We avoid thisobstacle by applying a hybrid approach and in estimating the characteristics of the solution.This hybrid approach utilizes the strengths of both frequency domain and time domain methodologies and minimizes the weaknesses of each by using the frequency domain for low frequency response and time domain for the high, greatly reducing the requiredprocessing.We believe that this approach of hybridizing time and frequency domain solutions to analyze structures has advantages over an asymptotic approach while still retaining the processing gains. The technology developed will become instrumental in developing RF antennas for future DoD and commercial applications. These applications include uses such as surveillance, track, SAR and multifunction radar, as well as antennas used communication. Thismodeling technology is also well suited for signal processing algorithm development for these applications.

Principal Investigator:

Alan George
TBD
3157327385
george@brsc.com

Business Contact:

Michael Krumme
Vice President
3157327385
krumme@brsc.com
Small Business Information at Submission:

BLACK RIVER SYSTEMS CO., INC.
162 Genesee Street Utica, NY 13502

EIN/Tax ID: 161515846
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No