Presentation + Paper
13 June 2023 Intelligent collaborative sensing for detection and removal of small distributed space debris
Author Affiliations +
Abstract
Space debris in the 1-10 cm diameter regime presents a particular hazard to future operations in low Earth orbit (LEO). These objects are too small to be reliably detected by terrestrial radar or telescopes, but too large for their impacts to be mitigated with Whipple shielding. This paper addresses this hazard by presenting a methodology for space-based detection and active debris removal (ADR) via novel intelligent collaborative sensing and efficient decentralized data fusion. In simulation, we demonstrate that a small heterogeneous constellation of co-orbiting satellites using attentional neural networks can autonomously share information and maneuver in a cooperative game to de-orbit space debris (e.g. with a mechanical arm or pulsed laser) while minimizing total energy consumption and collision risk in the constellation. Particular focus is given to the robustness and effectiveness of the developed collaborative sensing system with respect to sensor uncertainties and transient changes in observability between nodes.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph A. Dailey, Samantha Connolly, Sanket Lokhande, and Hao Xu "Intelligent collaborative sensing for detection and removal of small distributed space debris", Proc. SPIE 12546, Sensors and Systems for Space Applications XVI, 125460I (13 June 2023); https://doi.org/10.1117/12.2675494
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KEYWORDS
Sensors

Satellites

Data fusion

Neural networks

Radar

Telecommunications

Radar sensor technology

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