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EXploitation of Characteristic Information for Threat Evaluation

Award Information

Agency:
Department of Defense
Branch:
Missile Defense Agency
Award ID:
Program Year/Program:
2013 / STTR
Agency Tracking Number:
B12A-002-0032
Solicitation Year:
2012
Solicitation Topic Code:
MDA12-T002
Solicitation Number:
2012.A
Small Business Information
SciTec, Inc.
100 Wall Street Princeton, NJ -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: EXploitation of Characteristic Information for Threat Evaluation
Agency / Branch: DOD / MDA
Contract: HQ0147-13-C-7190
Award Amount: $99,982.00
 

Abstract:

SciTec and Georgia Tech Research Institute (GTRI) propose to develop novel RF/IR kinematic and feature fusion algorithms for incorporation into the Command, Control, Battle Management and Communications (C2BMC) 8.4 track correlation, discrimination, and lethality characterization algorithms that will allow the system to better exploit data from disparate sensors such as the Army Navy/Transportable Radar Surveillance radar (AN/TPY-2) and the Precision Tracking Space System (PTSS). The goal of the proposed work is to determine how to refine the Multiple Hypothesis Correlator, discrimination fusion, and lethality characterization algorithms within C2BMC/GEM to make the best use of data from the radars and from new IR sensors like PTSS, ultimately in support of its primary functions. Residual sensor biases, short-lived, inconsistent covariances, long propagation times between sensor coverage, and detection/tracking of differing subsets of the overall target set render track correlation in the BMDS a challenging problem for any correlator. However, gains (relative to current C2BMC performance) may be realized via use of advanced and robust features in the track correlation, discrimination fusion, and lethality characterization functions.

Principal Investigator:

Jennifer C. Davis
Principal Investigator
(609) 921-3892
jcd@scitec.com

Business Contact:

James J. Lisowski
CEO
(609) 921-3892
jjl@scitec.com
Small Business Information at Submission:

SciTec, Inc.
100 Wall Street Princeton, NJ -

EIN/Tax ID: 222255328
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Georgia Institute of Technology
505 Tenth Street NW
Atlanta, GA 30332-0415
Contact: Sophia L. Herbert-Peterson, Esq.
Contact Phone: (404) 385-6705