Multi-Frequency Radar Discrimination

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$746,430.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
W9113M-06-C-0172
Award Id:
69651
Agency Tracking Number:
B041-049-0501
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:
PaulMountcastle
Principal Staff Member
(203) 268-1249
pmountcastle@tsc.com
Business Contact:
AllanCorbeil
TSC Connecticut Operation
(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: (1) multi-sensor motion parameter estimation and (2) reconstruction of multi-band radar static patterns, which was successfully demonstrated in Phase I. The overall goal of this research is to provide the radars of Aegis BMD with robust physics-based methods for discriminating the lethal reentry vehicle from among large numbers of clutter and threat-like objects associated with advanced countermeasures. TSC's Phase I approach will be refined and applied to specific Aegis BMD target models, scenarios and radar systems during Phase II. TSC's technique provides seamless simultaneous determination of target rotational state and static RCS patterns. This is 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. Precise estimation of the rotational motion of targets is key to successfully exploiting information from multiple sensors. This Phase II program focuses on practical implementation of a new algorithm for estimating target rotational motion state, as applied to the S- and X-band radars of Aegis BMD.

* information listed above is at the time of submission.

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