Multi-Phenomenological, Autonomous, and Understandable SDA and XDA Decision Support

Abstract

We propose a capability-driven, needs-based research program composed of a transformative and balanced portfolio of basic research and applied research that produces substantive technology transfer and technical surprise. New basic research and sensing advances in technically diverse fields such as cognitive engineering, autonomy, decision-making under uncertainty, modern astrodynamics, multi-target tracking and dim object detection are providing a decadal opportunity to address new and future tactical and strategic space domain awareness (SDA) near Earth and beyond. The University of Colorado at Boulder (CU Boulder), Texas AandM University (TAMU), the Georgia Institute of Technology (Georgia Tech), and L3Harris Technologies (L3Harris) have teamed to investigate basic research interrogating novel sensor exploitation to infer internal space object modes, sensor network architectures, the art of the possible in ‘beyond geosynchronous orbit (XGEO) operations and strategies, and human-in-the-loop autonomous systems. We propose technology development and transition efforts to enable tactical space object identification, proliferated small footprint radio-frequency sensors, dim object detection and tracking, and question-based tactical sensor tasking.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 14, 2024
Source ID
FA95502310726

Entities

People

  • Marcus Holzinger

Organizations

  • Air Force Office of Scientific Research
  • Regents of the University of Colorado
  • United States Air Force

Tags

Readers

  • Aerospace Engineering.
  • Research Science/Academic Research
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Space
  • Space - Space Objects