Anechoic Chamber Simulation, Optimization and Synthesis Software Program

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 28096
Amount: $748,642.00
Phase: Phase II
Program: SBIR
Awards Year: 1996
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Voss Scientific
416 Washington St. Se Suite, 2-a, Albuquerque, NM, 87108
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Clifton C. Courtney
 (505) 255-4201
Business Contact
Phone: () -
Research Institution
N/A
Abstract
Commercial and military uses of RF/microwave anechoic chambers to conduct electromagnetic measurements of one type or another has increased considerably in recent years. unfortunately anechoic chambers can be very expensive to build ($0.5M for small chambers, to many $M for large chambers), and operate = man weeks of effort are often required to configure and run a chamber for a specific test. Consequently, the ability to accurately simulate the electromagnetic chamber would give test personnel a tool to simulate chamber conditions before costly and time consuming setup efforts are begun. Furthermore, a synthesis capability that optimizes the test configuration (placement of absorber, absorber type, system under test, source antenna location, diagnostic sensor placement, etc.) would the requirements of a planned experiment. We propose to build on our present anechoic chamber simulation capabilities to develop a Windows/PC-based simulation, analysis and synthesis program.. Phase I deliverables will include the Final Report and a working and useful prototype Anechoic Chamber Simulation, Analysis, and Synthetic Software Program. Our program goal is to develop a software tool that will: run under MS Windows with intuitive and informative graphical interfaces that are easy to use by test personnel; accurately model the significant EM physics of the chamber, antenna, absorber, and higher order test asset interactions; compute test fidelity figures of merit easily interpreted by test personnel; and synthesize and optimize configuration solutions that will satisfy test requirements.

* information listed above is at the time of submission.

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