Next Generation In-Situ Antenna Analysis and Design Toolbox Navy SBIR FY2015.1 Sol No.: Navy SBIR FY2015.1 Topic No.: N151-024 Topic Title: Next Generation In-Situ Antenna Analysis and Design Toolbox Proposal No.: N151-024-0930 Firm: IERUS Technologies, LLC 2904 Westcorp Blvd Suite 210 Huntsville, Alabama 35805 Contact: Daniel Faircloth Phone: (256) 319-2026 Web Site: http://www.ierustech.com Abstract: Antennas are typically designed in isolation and with, where appropriate, ground planes that are not representative of the installed environment. In situ antenna performance characterization is an increasingly important task for NAVAIR as the number and complexity of antenna systems grows. Measurements are an intractable solution for numerous reasons, which can ultimately be rolled up as time and cost. Even simulations are currently suboptimal in the sense that they either lack the required fidelity or simply cannot be executed within the computational and financial resource constraints. Such simulation problems involve complex materials, multiple feeds and loads, multiscale meshing challenges, and geometries that may exceed 1000 wavelengths in one or more dimensions. IERUS Technologies develops a highly advanced high-order accurate, exact physics computational electromagnetics (CEM) software package V-Lox with proven 25X speed-up over commercial competitors on real-world problems. V-Lox has demonstrated capability to solve problems with millions of unknowns involving complex materials, feeds, and loads. IERUS proposes to extend V-Lox to operate in a distributed memory environment thereby allowing the solution of even larger problems with high-order accuracy. Benefits: The result of this program will be a robust, high-order accurate solution capability for in situ antenna analysis including antenna radiation pattern calculation and antenna-to-antenna coupling prediction. To our knowledge, no such software currently exists that can provide the dynamic set of features being offered by the current version of V-Lox, much less the version that will be available at the end of this program. By then, V-Lox will be able to address problems with many millions of unknowns in a distributed memory environment with multi-GPU acceleration. Return