RF-IR Target Characterization for Feature-Aided Track Correlation

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7358
Agency Tracking Number: B122-005-0426
Amount: $99,967.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: MDA12-005
Solicitation Number: 2012.2
Small Business Information
Physical Sciences Inc.
MA, Andover, MA, 01810-1077
DUNS: 073800062
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andrew Stachyra
 Principal Research Scientist
 (978) 738-8182
 astachyra@psicorp.com
Business Contact
 B. Green
Title: President and CEO
Phone: (978) 689-0003
Email: green@psicorp.com
Research Institution
 Stub
Abstract
To maintain a complete, timely and coherent situational awareness picture, missile defense command and control functionality typically requires information to be integrated from a variety of different semi-autonomous sensors tracking the battle from different viewing geometries. These sensors, whether EO/IR or RF, typically each develop their own internal tracks upon objects within the scene, which later must be merged together with tracks from other sensors to form a single system track picture that best represents the consensus estimate as to the total number of objects and their trajectories. This track correlation process is complicated both by the fact that the sensors may suffer from uncorrected pointing biases, and also that not all of the sensors will necessarily acquire tracks on all of the objects. Physical Sciences Inc. proposes to improve the performance of the system track correlation process by incorporating time series signature data from the sensors in order to augment the existing distance-based track association metrics that are already currently in use by the system.

* information listed above is at the time of submission.

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