Inverse Neural-Network-Based Automated Antenna CAD Tool

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,944.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N68335-13-C-0050
Agency Tracking Number:
N122-119-0087
Solicitation Year:
2012
Solicitation Topic Code:
N122-119
Solicitation Number:
2012.2
Small Business Information
Physical Optics Corporation
Electro-Optics Systems Division, 1845 West 205th Street, Torrance, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
153865951
Principal Investigator:
Shahzad Khalid
Research Scientist
(310) 320-3088
ATProposals@poc.com
Business Contact:
Gordon Drew
Chief Financial Officer
(310) 320-3088
gedrew@poc.com
Research Institution:
n/a
Abstract
To address the Navy's need for an antenna design tool that will rapidly produce CAD models of commercial off-the-shelf (COTS) aircraft antennas, Physical Optics Corporation (POC) proposes to develop a new Inverse Neural-Network-based Automated Antenna CAD Tool (INNCAD). The innovation in algorithms based on trained knowledge-based inverse neural networks (INN) and an innovative antenna knowledge database (ADB) produce rapid automated design CAD models of COTS aircraft antennas that are ready to use in the Navy's CEM simulation tools to evaluate performance when installed. This device offers a methodology that uses COTS antenna performance and physical data to yield complete antenna designs and their physical descriptions, directly addressing Navy requirements. In Phase I, POC will develop a complete system architecture with details of the graphical user interface (GUI) and demonstrate the ability to produce a valid antenna design from top-level specifications for at least two types of antennas. In Phase II, POC will develop INNCAD into a complete engineering tool, which will include a GUI, interface to the Navy's CEM codes, and a complete version of the ADB and INN to design a comprehensive set of aircraft antennas.

* information listed above is at the time of submission.

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