SBIR/STTR Research Award

Advanced Antenna Pattern Prediction Software

Award identifier 0831c28a7bd7a82065aadbc193f66a9889cb94e062bb5932dbbe1c2c72f68b60Awarding agency Department of Defense · Air Force

Award amount

$99,999

Program and phase

STTR · Phase I

Award year

2005

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CEM TECHNOLOGIES, INC.
Proposal award date
2005-08-01
Contract end date
2006-05-01
UEI
Not reported
Solicitation number
Not reported
Topic code
AF05-T018

Research abstract

Accurate numerical predictions of performance of antennas on aircraft are important in many problems of avionics design and integration. In particular, such predictions are needed for determination of optimal placement of antenna on an aircraft in order to achieve required coverage. The focus of this project is an investigation and development of high-frequency computational methods and codes for accurate and efficient prediction of patterns of antennas located on an aircraft embedded in a layer of dielectric/magnetic material. In order to attain the required high accuracy, the developed methods and codes will perform the necessary analyses on computational aircraft models fully and accurately representing the actual aircraft geometry and surface materials. Developed earlier by the proposing team methods for calculating field contributions due to creeping-rays and diffraction effects of aircraft wings, stabilizers, and other external features of PEC aircraft with geometry of general shape will be further developed and supplemented to account for the presence of a layer of dielectric/magnetic material. Prototype computer implementations will be built and tested.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.