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Antenna Placement Optimization on Large, Airborne, Naval Platforms

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
N101-022-1297
Solicitation Year:
2010
Solicitation Topic Code:
N101-022
Solicitation Number:
2010.1
Small Business Information
Applied EM Inc.
100 Exploration Way, Suite 300 Hampton, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2011
Title: Antenna Placement Optimization on Large, Airborne, Naval Platforms
Agency: DOD
Contract: N68335-11-C-0181
Award Amount: $449,983.00
 

Abstract:

Antenna placement on electrically large aircraft bodies is becoming a critical issue. Use of full-wave solvers to assess the on-platform performance of an antenna or the interaction between two antennas is impractical, both in terms of computing resources required and length of execution time. The next best choice is to use a high-frequency code. To address this issue, Applied EM is developing state of the art UTD (Uniform Theory of Diffraction) code for faceted CAD geometries. Although not as accurate as full-wave codes, high-frequency codes require modest computer resources and are faster than full-wave codes. In a serial mode, however, even these codes can take substantial time to execute depending on platform size and complexity. During this SBIR, Applied EM and its team members are proposing porting of already developed UTD code to both CPU and GPU-based parallel environments for the purpose of greatly accelerating the performance. During Phase I, we identified bottlenecks in current algorithms and also identified existing algorithms that may be problematic in transferring to a parallel environment. During Phase II, we plan to develop a commercial grade GPU based UTD code that will be commercialized.

Principal Investigator:

Cagatay Tokgoz
Senior Research Engineer
(757) 224-2035
cagatay@appliedem.com

Business Contact:

C. Reddy
President
(757) 224-2035
cjreddy@appliedem.com
Small Business Information at Submission:

Applied EM Inc.
144 Research Drive Hampton, VA -

EIN/Tax ID: 382962539
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No