Advanced Estimation and Data Fusion Strategies for Space Surveillance/Reconnaissance

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9453-11-C-0153
Agency Tracking Number: F093-012-1380
Amount: $723,258.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solitcitation Year: 2009
Solitcitation Topic Code: AF093-012
Solitcitation Number: 2009.3
Small Business Information
Numerica Corporation
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/CEO
 (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 is that component of space situational assessment and protection that makes use of multisource data to track and identify space objects. Given the increasing importance of space, the need to protect space assets, and the increasing number of objects in space, an automated system of tracking and anomaly detection is required to support decision makers. Such a system must deal with many challenges including a data starved environment, nonlinear and non-conservative forces with uncertain parameters, long propagation times without observations, wide variability in scenario complexity from breakups to widely spaced orbits, uncorrelated tracks, fusion of radar and EO reports, features, and non-traditional data. To address these challenges, Numerica proposes the development of a new and adaptive multiple hypothesis tracking (MHT) class of algorithms in a software environment and framework that supports rapid algorithm prototyping, testing and evaluation, and object-oriented design. Such an environment will support and incorporate different algorithms for association, nonlinear filtering and multiple models, complexity reduction, uncertainty management, biases, likelihood ratios, features and non-traditional data, maneuver detection, and event classification. The program will unify these topics under a single framework capable of solving large problems autonomously. BENEFIT: The first anticipated benefit from the proposed program will be the development of a modern and statistically robust approach to tracking space objects through the use of modern nonlinear estimation and correlation techniques. A second anticipated benefit will be the significant advance in change and maneuver detection. The combination ensures a robust system for tracking and maneuver/change detection. 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, NRO/NSA, or to a prime for the Space Fence such as Lockheed Martin. 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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