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Efficient Constrained Optimization Method for In-Situ Antenna Performance Restoration

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-12-C-0178
Agency Tracking Number: N121-015-0571
Amount: $79,957.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N121-015
Solicitation Number: 2012.1
Solicitation Year: 2012
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-04-02
Award End Date (Contract End Date): N/A
Small Business Information
7735 Paragon Road
Dayton, OH -
United States
DUNS: 134159925
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tri Van
 Sr. Research Scientist
 (937) 435-1016
Business Contact
 David Hughes
Title: VP Finance
Phone: (937) 435-1016
Research Institution

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.

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

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