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Target Detection using a Computationally Efficient Physics-Based Modeling Tool

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
73027
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
F051-155-0915
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
NanoSonic, Inc.
158 Wheatland Drive Pembroke, VA 24136-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Target Detection using a Computationally Efficient Physics-Based Modeling Tool
Agency / Branch: DOD / USAF
Contract: FA8651-05-C-0231
Award Amount: $99,989.00
 

Abstract:

In this Phase I SBIR program, NanoSonic would apply its expertise in analytical and computational techniques in electromagnetics to implement and validate a powerful solution for detection of obscured and hidden targets. In accomplishing this program, NanoSonic has significant experience with random media propagation as well as computational techniques. In addition, NanoSonic would work with an expert from a major research university who specializes in random surface scattering and the radar systems group from a prime defense contractor. Although most current approaches use a radiative transfer method, they are either purely phenomenological or too complex for rapid solution. Alternatively, assuming independently scattering between scattering centers, it is possible to convert single-frequency models of the individual RCS of discrete constituents and the RCS per unit area for an extended surface into models for the incoherent time-dependent average scattered waveform produced under pulse illumination. We have used this impulse response approach to characterize time-domain the return from a random medium over a rough interface with a hidden target. The reduced-order model yields the returned power waveform from both the surface and volume in a convolutional form. This permits the rapid and efficient evaluation of the waveform using the FFT.

Principal Investigator:

Bradley A. Davis
Research Scientist
5409531785
bdavis@nanosonic.com

Business Contact:

Richard O. Claus
President
5409531785
roclaus@nanosonic.com
Small Business Information at Submission:

NANOSONIC, INC.
P.O. Box 618 Christiansburg, VA 24068

EIN/Tax ID: 541877635
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No