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Real-Time Dismount Detection and Tracking Using Synthetic Aperture Radar (SAR) System

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-11-M-1124
Agency Tracking Number: F103-179-0615
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF103-179
Solicitation Number: 2010.3
Timeline
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-01-06
Award End Date (Contract End Date): N/A
Small Business Information
P O Box 1465
Lomita, CA 90717
United States
DUNS: 800116324
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Kirk
 Vice President
 (310) 891-2435
 jckirkjr@goletastar.com
Business Contact
 Leo Fong
Title: President
Phone: (310) 320-1111
Email: Leo@goletastar.com
Research Institution
 Stub
Abstract

AFRL-WPAFB has initiated various programs to better understand the coherent information in SAR data. The current effort is intended to further this objective by developing algorithms to detect dismounts in SAR imagery that are acquired via: i) subaperture monostatic and along-track bistatic monopulse SAR data from a single pass; ii) subaperture monostatic SAR data of a single pass; and iii) subaperture monostatic SAR data of multiple passes. We will use 2D spatially-varying adaptive filtering in range and Doppler domains to blindly calibrate these dual imagery for clutter cancellation. The approach does not require complicated hardware development and time-consuming signal processing of a multiple-channel SAR platform that are essential for other algorithms such as STAP. To improve the system sensitivity to detect dismounts, we propose the use of a nonlinear flight path such as AFRL"s GOTCHA platform. We also utilize an innovative feature-aided tracking technique which has shown good performance for tracking weak and slowly-moving target signatures in strong clutter. In addition to GOTCHA data, Goleta Star would also collect SAR data with its dual-channel Ka-band UAV radar. Thus, the proposed algorithms and associated signal processing form a basis for a practical and real-time approach to detect and track dismounts. BENEFIT: The anticipated result from successful completion of this project will be a set of innovative subaperture-based nonlinear SAR signal processing algorithms and their associated hardware implementation for real-time processing to detect, track and image moving dismounts that are applicable in surveillance and reconnaissance radar platforms of the Departments of Defense, Homeland, and Justice.

* Information listed above is at the time of submission. *

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