RARSP: Rapid and Accurate Radar Signature Prediction Navy SBIR FY2013.1 Sol No.: Navy SBIR FY2013.1 Topic No.: N131-003 Topic Title: RARSP: Rapid and Accurate Radar Signature Prediction Proposal No.: N131-003-0630 Firm: Intelligent Automation, Inc. 15400 Calhoun Drive Suite 400 Rockville, Maryland 20855 Contact: Feng Xu Phone: (301) 294-5228 Web Site: www.i-a-i.com Abstract: Modeling of radar signature of sea targets in dynamic sea states is a critically important problem in developing methods of detection and identification of potentially threatening ships. As most maritime radars operate at X-band, this EM problem has an extremely large electric-size and it is further complicated by the sea wave phenomena. Simulation tools exist for high-frequency electromagnetic (EM) simulation. However, existing tools are insufficient in following three aspects: incapable of modeling the fine features on the topside of ships which often have significant scattering contributions due to their comparable size to X-band wavelength; incapable of capturing the interaction between ships and complex sea states; not suitable for state-of-the-art Graphic Processing Unit (GPU) or GPU-cluster acceleration. We propose to develop a hybrid method based on the novel Bidirectional Analytic Ray Tracing (BART) algorithm and the 3D fast Method of Moments (MoM) algorithm. Besides the fine features of ships, the proposed tool can also take account of scattering of rough sea surfaces. Both BART and MoM can be accelerated by inexpensive GPUs. Benefits: The technology developed under this topic provides significant benefits to a variety of commercial and military radar sensing applications of mixed-scale targets, including aviation, boats and ships, spacecraft, ground vehicles, and fixed installations. There are also numerous non-military applications such as port security, search and rescue, and remote sensing. Return