Ibex: A Space Situational Awareness Data Fusion Program

Abstract

Ibex seeks to provide more timely understanding of the space environment to support course of action implementation in the Joint Space Operations Center (JSpOC). The program will develop and deliver data fusion capabilities into the JSpOC to support sensor tip & cue (surveillance to tasking). Ibex algorithms are compatible for direct integration into the JSPOC Mission System (JMS) products. In this phase of the program, the program will develop and demonstrate algorithms and software to autonomously accept, organize, process and analyze Space Situational Awareness (SSA) data in three primary areas: Dynamic Sensor Tasking (DST), Positive Object Identification (POI) and Rapid Object Characterization (ROC). This paper will discuss those areas in some detail and the systems engineering effort to support interfaces between the three areas. The Ibex program completed a Critical Design Review in July 2012 and will complete its initial demonstration in November 2012. Ibex is a jointly funded DARPA and Air Force program.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2012
Accession Number
ADA570273

Entities

People

  • Christopher Gustin
  • George Zollinger
  • John-scott Smokelin
  • Kim Luu
  • Lawrence Robertson Iii
  • Travis Blake

Organizations

  • Defense Advanced Research Projects Agency

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Data Fusion
  • Demonstrations
  • Engineering
  • Graphical User Interface
  • Identification
  • Situational Awareness
  • Space Environments
  • Space Objects
  • Space Operations
  • Space Situational Awareness
  • Space Surveillance
  • Space Systems
  • Spacecraft
  • Surveillance
  • Systems Engineering

Readers

  • Aerospace Engineering.
  • Computer Vision.
  • Joint Military Operations and Doctrine.

Technology Areas

  • Space
  • Space - Space Objects