Inverse Neural-Network-Based Automated Antenna CAD Tool

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.