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Composit Tracking and Discrimination Module

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
92099
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
A091-012-0081
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Daniel H. Wagner, Associates, Incorporat
559 West Uwchlan Avenue Suite 140 Exton, PA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Composit Tracking and Discrimination Module
Agency / Branch: DOD / ARMY
Contract: W9113M-09-C-0178
Award Amount: $69,979.00
 

Abstract:

The project objective is to develop a set of mathematically rigorous Composite Tracking and Discrimination Modules (CTDMs) for accurately fusing both kinematic and non-kinematic sensor information to contribute to a consistent Single Integrated Air Picture (SIAP) containing both Tactical Ballistic Missiles (TBMs) and Air Breathing Targets (ABTs). A distributed data fusion architecture is assumed. Local (sensor level) tracks are formed based on measurement-to-track fusion. Multi-sensor system tracks are formed based on track-to-track fusion. The target state vector includes both kinematic and feature states (such as radar cross section and color temperature). Non-linear state estimation methods employed include extended Kalman filtering, a Gaussian sum representation for the target state distribution, and the modified Euler method for approximating the solution to the target state SDE. Data association is formulated as a classical assignment problem. Data association hypotheses are generated using the Munkres algorithm. A graph-theoretic algorithm is used to form cluster tracks partitioning the data association problem into independent subproblems. The bandwidth required to communicate tracking data across the distributed network is reduced by sending pseudo-measurements that capture the information from multiple physical measurements. A Bayesian inference engine performs the target discrimination and classification function. Multi-sensor registration is performed using non-Gaussian methods.

Principal Investigator:

C.a. Butler/Dr. B. Belkin, Co-PIs
President
7577277700
Allen.Butler@va.wagner.com

Business Contact:

W. Reynolds Monach
Vice President
7577277700
GovtMktg@pa.wagner.com
Small Business Information at Submission:

DANIEL H. WAGNE
40 Lloyd Avenue Suite 200 Malvern, PA 19355

EIN/Tax ID: 231677707
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No