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RARSP: Rapid and Accurate Radar Signature Prediction

Award Information

Department of Defense
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: RARSP: Rapid and Accurate Radar Signature Prediction
Agency: DOD
Contract: N68335-13-C-0247
Award Amount: $80,000.00


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.

Principal Investigator:

Feng Xu
Senior Research Scientist
(301) 294-5228

Business Contact:

Mark James
Director, Contracts and P
(301) 294-5221
Small Business Information at Submission:

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD -

EIN/Tax ID: 521497192
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No