RARSP: Rapid and Accurate Radar Signature Prediction

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$80,000.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N68335-13-C-0247
Agency Tracking Number:
N131-003-0630
Solicitation Year:
2013
Solicitation Topic Code:
N131-003
Solicitation Number:
2013.1
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400, Rockville, MD, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator
 Feng Xu
 Senior Research Scientist
 (301) 294-5228
 fxu@i-a-i.com
Business Contact
 Mark James
Title: Director, Contracts and P
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
 Stub
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.

* information listed above is at the time of submission.

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