Multiple Frame Assignment Tracking of Surface Targets

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N00014-04-M-0198
Award Id:
70123
Agency Tracking Number:
N041-107-0306
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
PO Box 271246, Ft. Collins, CO, 80527
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
956324362
Principal Investigator:
Aubrey Poore
President
(970) 419-8343
abpoore@numerica.us
Business Contact:
Jeff Poore
Vice President
(970) 419-8343
jbpoore@numerica.us
Research Institution:
n/a
Abstract
Detection, surveillance, and defense against asymmetric threat scenarios such as small surface target swarms is an important area of concern. For homeland security, drug trafficking surveillance, and the protection of Navy assets it is necessary to track these highly maneuverable targets, perhaps in large numbers. This requires a tracking system that provides high-fidelity correlation and state estimation and exhibits graceful degradation in the presence of unique challenges such as limited target resolution, high false alarm rates, and temporal target occlusion. Numerica has developed state-of-the-art tracking systems for air and missile defense based on its Multiple Frame Assignment (MFA) data correlation method. To address the unique challenges of surface target tracking Numerica proposes to develop an advanced MFA multi-sensor surface target tracking system. The proposed Phase I prototype tracker will incorporate data from a suite of sensors such as SSR, IRST, and elevated IR/visible video imagery sensors. In addition novel algorithms will be formulated that significantly enhance surface target tracking performance: (1)fusion node aided signal processing to improve tracking in the presence of closely spaced objects; and (2) target discriminating feature aided tracking to improve data correlation and to discern sea from land targets.

* information listed above is at the time of submission.

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