X5 SYSTEMS INC
This SBIR Phase I project seeks to demonstrate feasibility of a software tool employing advanced search algorithms applied to antenna design and optimization. Current methods of designing and optimizing antennas by hand are time and labor intensive, limit complexity, and require significant expertise. Genetic algorithm (GA) optimization has been shown to find effective antenna design solutions that would not ordinarily be found through engineering intuition. Our team?s work carried out at MIT, Stanford, Carnegie Mellon, Air Force Research Laboratory, and NASA has led to groundbreaking work in this area, including the seminal patent in the field and GA-designed antennas deployed on three NASA spacecraft in 2006. However, to harness the true power of these search algorithms an engineer must be an expert in both GAs and Electromagnetics. In this effort, we will create the core of a new software tool to demonstrate the feasibility of a highly-automated design approach, where useful antennas can be generated without requiring significant guidance: the user simply enters design requirements (e.g., RF performance, dimensions, cost), and an automated optimization produces one or more compliant designs. This approach promises to greatly improve the performance and economics of future antenna applications for many industry and government customers.