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Automated Target Characterization and Correlation with Heterogeneous Kinematic…

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
B122-005-0073
Solicitation Year:
2012
Solicitation Topic Code:
MDA12-005
Solicitation Number:
2012.2
Small Business Information
ANDRO Computational Solutions, LLC
Beeches Professional Campus 7980 Turin Road, Bldg. 1 Rome, NY 13440-1934
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: Automated Target Characterization and Correlation with Heterogeneous Kinematic and Feature Data for Sensor Hand-Over
Agency: DOD
Contract: HQ0147-13-C-7306
Award Amount: $149,996.00
 

Abstract:

We propose to develop and implement a set of algorithms within a unified target characterization and correlation framework capable of operating in a multiple heterogeneous sensor environment where detection, classification, localization and track priority information is exchanged among multiple platforms. Our goal is to deliver an effective automated and autonomous information extraction and fusion system that can be incorporated in today"s operational systems. The primary focus will be on the development of algorithms for target characterization and correlation that can handle the difficult track handover between PTSS EO/IR boost phase detection sensors and weapon control sensors such as Aegis or AN/TPY-2. Information fusion with heterogeneous sensors is challenging because non-kinematic features are different for each sensor type making it is difficult to correlate features across sensors. Thus, it is necessary to develop meta-features that are sensor invariant and amenable to optimal track correlation across sensors. Once this target characterization is carried out effectively, the next task is to develop efficient fusion or correlation algorithms that can yield better common tracks and facilitate accurate track hand-over. In our approach, target characterization (information extraction) and correlation (information fusion) are tightly coupled problems that are addressed jointly to ensure optimal overall performance.

Principal Investigator:

Richard S. Loe
Senior Research Scientist
(315) 334-1163
rloe@androcs.com

Business Contact:

Thomas Benjamin
Director of Contracts
(315) 334-1163
tbenjamin@androcs.com
Small Business Information at Submission:

ANDRO Computational Solutions, LLC
Beeches Technical Campus 7902 Turin Road, Ste. 2-1 Rome, NY -

EIN/Tax ID: 043730066
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No