Innovative and Efficient Design of Directional Ultra Wideband Antennas for UAV Applications

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W15P7T-06-C-P204
Agency Tracking Number:
A052-090-2859
Solicitation Year:
2005
Solicitation Topic Code:
A05-090
Solicitation Number:
2005.2
Small Business Information
INTELLIGENT AUTOMATION, INC.
15400 Calhoun Drive, Suite 400, Rockville, MD, 20855
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator:
Xianyang Zhu
Senior Research Scientist
(301) 294-5278
xzhu@i-a-i.com
Business Contact:
Mark James
Contract & Proposals Manager
(301) 294-5221
mjames@i-a-i.com
Research Institution:
n/a
Abstract
UAVs are widely used for both military and civilian applications for their low cost and flexibility. However, conventional antenna design options are incompatible with the size, weight, power, required RF performance, and flight characteristics of UAVs. On the other hand, the antenna performance can be improved considerably with the integration of the airframe geometries. The key to efficient design such antenna for UAVs is to find a powerful electromagnetic simulation method that can handle complicated structures and an efficient optimization algorithm. A combination of parallel Finite Difference Time Domain (FDTD) and genetic algorithm (GA) will be employed for this Phase I program. FDTD is most suitable for simulation of arbitrary shaped homogeneous or inhomogeneous targets, while GA can provide global optimum in a relatively short time. A cavity backed antenna integrated with the airframe geometries will be designed, and the shape, substrate distribution, and the position of the antenna will be optimized.

* information listed above is at the time of submission.

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