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Advanced Antenna Pattern Prediction Software

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-05-C-0056
Agency Tracking Number: F054-018-0029
Amount: $99,934.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF05-T018
Solicitation Number: N/A
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-08-01
Award End Date (Contract End Date): 2006-05-01
Small Business Information
685 Busch Garden Dr.
Pasadena, CA 91105
United States
DUNS: 046409533
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Randy Paffenroth
 Scientist
 (626) 441-2782
 randy.paffenroth@mathsys.net
Business Contact
 Marta Kahl
Title: President
Phone: (626) 441-2782
Email: marta.kahl@mathsys.net
Research Institution
N/A
Abstract

The present text proposes development of a software infrastructure for the prediction of antenna patterns on and around aircraft, for frequencies throughout the electromagnetic spectrum - including UHF through L bands as well as arbitrarily high-frequencies---and applicable to aircraft which, like those designed for low observability, contain non perfectly conducting surface materials. Relying on high-order high-frequency integral equation methods, the proposed algorithm constitutes an entirely rigorous, highly enhanced version of the Uniform Theory of Diffraction (UTD): instead of using particular solutions as building blocks, as the classical UTD does, the proposed method obtains highly accurate local solutions from use of certain integral equations introduced recently, which can be solved with limited computational cost for arbitrary frequencies, high or low. The proposed algorithm is rigorous: it is designed to produce numerical solutions which converge to the corresponding exact solutions as discretizations are refined. Because of the high-frequency asymptotics built into them, on the other hand, the proposed methods allow for efficient computations for arbitrary frequencies - in computing times similar to those required by the approximate UTD based methods.

* Information listed above is at the time of submission. *

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