Multi-Sensor Space Object Tracking

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-11-C-0147
Agency Tracking Number: F103-064-0906
Amount: $99,828.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: AF103-064
Solicitation Number: 2010.3
Small Business Information
4850 Hahns Peak Drive, Suite 200, Loveland, CO, -
DUNS: 956324362
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Aubrey Poore
 Chief Scientist
 (970) 461-2000
 aubrey.poore@numerica.us
Business Contact
 Jeff Poore
Title: President/COO
Phone: (970) 461-2000
Email: jeff.poore@numerica.us
Research Institution
 Stub
Abstract
ABSTRACT: Space surveillance or reconnaissance is that component of space situational awareness focused on the detection of resident space objects (RSOs) and the use of multisource data including available radar and electro-optical reports to support their tracking and identification. The proposed program aims to develop modern and robust approaches to tracking RSOs through the use of advanced uncertainty management (nonlinear filtering), data fusion, and correlation techniques. In particular, the use of an adaptive multiple hypothesis and multiple frame assignment tracker is proposed for the association engine, enabling one to adaptively change between single and multiple frame methods. Further, the application of advanced uncertainty management using, for example, an adaptive Gaussian sum filter, will support accurate probability of intercept, collision avoidance, and anomaly detection calculations. The problem of combining data from multiple sensors through fusing and multilateration techniques is also addressed in the proposal. Orbital data provided by JFCC SPACE will facilitate algorithm development and verification. BENEFIT: The first anticipated benefit from the proposed program will be the development of modern and robust algorithms for multisensor tracking and fusion for radar and electro-optical sensors. A second anticipated benefit will be the integration of the above algorithms into an automated multiple hypothesis tracking system to track and identify the ever-increasing number of objects and debris in space. This combination ensures a robust system for multisensor data fusion and tracking. The key commercialization of the proposed program would be a transition of the algorithms and software, either alone or embedded in a modern multiple target tracking system, to the JSpOC Mission Systems. This program also provides the opportunity to work with other contractors and the nation's Air Force labs in support of the nation's space protection and situational assessment programs utilizing Numerica's strengths in all phases of multiple target tracking, modern control systems, sensors, sensor resource management, and situation assessment.

* Information listed above is at the time of submission. *

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