Network-Centric Multiple Frame Association for Distributed Multiple Target Tracking

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9113M-06-C-0196
Agency Tracking Number: A052-132-1727
Amount: $722,917.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solicitation Year: 2005
Solicitation Topic Code: A05-132
Solicitation Number: 2005.2
Small Business Information
NUMERICA CORPORATION
PO Box 271246, Ft. Collins, CO, 80527
DUNS: 956324362
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Aubrey Poore
 President / Chief Scienti
 (970) 419-8343
 abpoore@numerica.us
Business Contact
 Jeff Poore
Title: Vice President / COO
Phone: (970) 419-8343
Email: jbpoore@numerica.us
Research Institution
N/A
Abstract
The coordinated use of these multiple distributed sensors by network communication has the potential to substantially improve track state estimates, associated feature and attribute estimates, and identification of targets (ID and CID), primarily due to geometric diversity, complementary sensor information, and different coverage areas. To achieve this substantial improvement in the fusion capability, algorithms and data processing capabilities that address a number of technical issues and are robust in challenging and anomalous conditions must be developed. For single sensors or multiple sensors in a centralized architecture, multiple frame data association methods such as MHT and MFA are superior to the single frame methods due the ability to hold difficult decisions in abeyance until more information is available or, equivalently, the opportunity to change past decisions to improve current decisions. Thus, the goal of this program is to develop a decentralized network-centric class of multiple frame data association methods (MFA/MHT) that achieves the quality of a MFA/MHT centralized tracker and SIAP across the network of platforms in a communication constrained environment.

* information listed above is at the time of submission.

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