Advanced Radar Data Fusion

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$999,966.00
Award Year:
2007
Program:
SBIR
Phase:
Phase II
Contract:
HQ0006-07-C-7642
Award Id:
78372
Agency Tracking Number:
053-0092
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
053885604
Principal Investigator:
Paul Mountcastle
Principal Staff Member
(203) 268-1249
pmountcastle@tsc.com
Business Contact:
Allan Corbeil
Connecticut Operations Ma
(203) 268-1249
acorbeil@tsc.com
Research Institute:
n/a
Abstract
In Phase II, TSC proposes to further develop and validate a novel approach to multisensor 3D radar imaging and simultaneous motion parameter estimation, which was successfully demonstrated in Phase I. 3D radar images produced by TSC's algorithm offer a means of estimating the size of targets in three dimensions, a key discriminant for robust object discrimination. TSC's Phase I approach will be refined and applied to government-provided threat based target models, scenarios and radar systems during Phase II. TSC's technique simultaneously generates 3D volumetric radar images and estimates the precise target rotational state of targets in ballistic torque-free motion using one or more radars. TSC's 3D radar imaging methods are an innovation over traditional radar discrimination features such as RCS statistics and apparent length, which are derived from time-dependent radar signatures and do not estimate genuine invariant properties of the target or its motion state. 3D radar images are referred to a body-fixed principal axis coordinate frame which is the same for all radars that view the target at any time during the exoatmospheric midcourse stage of flight, greatly simplifying the task of registering images for true data level fusion compared to conventional approaches.

* information listed above is at the time of submission.

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