Advanced Feature Extraction Algorithm (AFEA)

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$100,000.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
HQ0006-06-C-7404
Award Id:
78337
Agency Tracking Number:
053-0839
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
655 Deep Valley Drive, Suite 335, Rolling Hills Estate, CA, 90274
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
625432679
Principal Investigator:
BlainePearce
Principal Scientist
(310) 541-1933
bep@aero-optics.com
Business Contact:
G.Freeman
President
(310) 541-1933
gnf@aero-optics.com
Research Institute:
n/a
Abstract
Defense against modern ballistic missiles requires discrimination between lethal and nonlethal objects within a large number of nearly identical threats. This MDA SBIR Topic "Advanced Feature Extraction Algorithm" (AFEA) has the objective of developing and demonstrating an algorithm that can contribute to this important function. It relies on matching multi-parameter simulations of the threat objects with measurements to infer the threat object geometry, motion, and thermal parameters. It relies on time resolved observations from passive and laser radar sensors. Phase I relies on a prior Aero Optics Phase I SBIR "Ladar Algorithms for Lethal Objects" (LALO) in which an inversion algorithm to extract object parameters was demonstrated. This earlier concept is augmented to account for multiple sensor platforms, improved convergence, shortened observation times and sensor noise. The algorithm is to be implemented in GPU software and hardware to speed computation and demonstrate applications to on-board, real-time processing. Phase I is a demonstration of the AFEA algorithm. Phase II will include further demonstrations, resolution of technical difficulties, and testing of the algorithm performance against large numbers and wide varieties of objects and engagements and selected flight test measurements.

* information listed above is at the time of submission.

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