Performance Assessment and Optimization of Installed Antenna and Radome

The goals of this SBIR effort are to 1) develop a framework to analyze and optimize on-aircraft antenna/radome performance, 2) demonstrate the capability for a full scale platform of interest to the Navy at X-band frequencies, and 3) develop novel procedures that can significantly reduce the computational burden by orders of magnitude over the current state of the art and state of practice. To achieve these lofty goals, HyPerComp is developing and implementing a number of next generation computing technologies: 1) High-order accurate discontinuous Galerkin (DG)-based algorithms with error control depending on basis order and grid resolution, 2) uncertainty quantification based on a chaos polynomial expansion procedure, 3) a reduced-order basis method (RBM) for greatly minimizing the computational burden of generating large number of data sets such as those generated during an optimization search process, 4) exploiting the advances in GPU computing for dramatic speed-ups in computation over conventional CPU type computing, 5) high-order curved meshing consistent with high order field representation, and 6) high-order absorbing outer boundary conditions with error control based on order for spurious reflections.