Chain Reactions in Space: Analyzing the Impact of Satellite Collisions and Debris Accumulation
Mark Ballard, Guanqun Song, Ting Zhu

TL;DR
This study analyzes space debris and satellite collision risks, identifying key orbital features like apogee and orbital period that influence the likelihood of cascading collisions, and proposes mitigation strategies involving AI and shielding.
Contribution
It provides a data-driven analysis of orbital features affecting collision risks and highlights the importance of high-orbit satellites in space debris accumulation.
Findings
Apogee and orbital period strongly correlate with collision risk.
Velocity and RCS size show negligible correlation with collisions.
Proposes AI navigation and radiation shielding as mitigation strategies.
Abstract
The exponential increase in artificial satellites, growing from 852 in 2004 to over 9,000 in 2023, has intensified the risk of the Kessler Syndrome: a cascading chain reaction of orbital collisions. This paper analyzes the dynamics of space debris accumulation to identify the primary orbital features contributing to this systemic risk. We compiled and analyzed Two-Line Element (TLE) datasets from Space-Track.org and historical collision data using a Python-based data mining approach. Specifically, we derived satellite velocities using the Vis-Viva equation and evaluated the correlation of five key features, launch piece count, orbital period, apogee, perigee, and Radar Cross Section (RCS) size, with debris density. Our evaluation reveals that apogee and orbital period exhibit the strongest correlation with the risk of the Kessler Syndrome, indicating that satellites in higher orbits…
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Taxonomy
TopicsSpace Satellite Systems and Control · Spacecraft Dynamics and Control · Astro and Planetary Science
