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Efficient Constrained Optimization Method for In-Situ Antenna Performance…

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
N121-015-0571
Solicitation Year:
2012
Solicitation Topic Code:
N121-015
Solicitation Number:
2012.1
Small Business Information
BerrieHill Research Corporation
7735 Paragon Rd. Dayton, OH -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Efficient Constrained Optimization Method for In-Situ Antenna Performance Restoration
Agency: DOD
Contract: N68335-12-C-0178
Award Amount: $79,957.00
 

Abstract:

In-situ antenna measurements are often impractical or too costly, since they require the fabrication of the antenna and structural modifications of the platform for antenna installation. As the forward EM problems can be numerically solved ever more efficiently, it is possible to perform antenna-platform optimizations in a reasonable time. They provide allow the investigation of alternative antenna sites, material treatments, or antenna modifications to mitigate the platform or nearby structure effects in order to satisfy the performance requirements. In this proposal, it is assumed that the installed antenna is near optimum and only small adjustments or modifications are required to regain its performance characteristics. As such, the limited-memory BFGS with simple bound constraints is chosen to solve the large scale mutli-objective optimization problem. In this approach, the gradient of the vector functional is computed by the adjoint method and the explicit storage of the approximate Hessian computed based on a recursive equation is not required. The function evaluation will be performed by the method-of-moment solver in the commercial FEKO.

Principal Investigator:

Tri Van
Sr. Research Scientist
(937) 435-1016
trivan@berriehill.com

Business Contact:

David Hughes
VP Finance
(937) 435-1016
dfhughes@berriehill.com
Small Business Information at Submission:

BerrieHill Research Corporation
7735 Paragon Road Dayton, OH -

EIN/Tax ID: 202376295
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No