| NSF Org: |
TI Translational Impacts |
| Recipient: |
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| Initial Amendment Date: | December 28, 2009 |
| Latest Amendment Date: | December 28, 2009 |
| Award Number: | 1003577 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Arkilic Errol
TI Translational Impacts TIP Directorate for Technology, Innovation, and Partnerships |
| Start Date: | January 1, 2010 |
| End Date: | June 30, 2010 (Estimated) |
| Total Intended Award Amount: | $20,000.00 |
| Total Awarded Amount to Date: | $20,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
140 Meadowbrook Drive Los Gatos CA US 95032-4030 (650)335-2802 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
140 Meadowbrook Drive Los Gatos CA US 95032-4030 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | SBIR Phase I |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.084 |
ABSTRACT
This Small Business Innovation Research Phase I project seeks to demonstrate feasibility of a software tool employing advanced search algorithms applied to antenna design and optimization. Current methods of designing and optimizing antennas by hand are time and labor intensive, address limited complexity, and require significant expertise. Genetic algorithm (GA) optimization has been shown to find effective antenna design solutions that would not ordinarily be found through engineering intuition.
If the current effort is successful, the core of a new software tool to demonstrate the feasibility of a highly-automated design approach, where useful antennas can be generated without requiring significant guidance: the user simply enters design requirements (e.g., RF performance, dimensions, cost), and an automated optimization produces one or more compliant designs will be demonstrated. This approach promises to improve the performance and economics of future antenna applications for many industry and government customers.
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