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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:
2004 / 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 -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2004
Title: Hybridized Full Wave ? Asymptotic Electromagnetic (EM) Computational Engine for Antenna Computer Aided Design (CAD)
Agency / Branch: DOD / ARMY
Contract: W911NF-04-C-0134
Award Amount: $746,515.00
 

Abstract:

Black River Systems (with Dr. Tapan Sarkar of OHRN, and Stiefvater Consultants Inc.) proposes a hybrid electromagnetic modeling compute engine. This hybrid engine will model the small features of antenna/vehicle structure simultaneously with the 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 this obstacle 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 response and time domain for the high, greatly reducing the required processing. We believe that this approach of hybridizing time and frequency domain solutions will allow at least a 10:1 increase in frequency over current methods, allowing analysis of targets in realistic enviroments and antennas with their support structures.

Principal Investigator:

Alan George
Principal Engineer
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