A New Cold War Is Unfolding in Orbit as China Advances Satellite Surveillance

Chinese scientists at the Beijing Institute of Technology have run satellite proximity simulations to extend potentially hostile observation of U.S. space assets in Geostationary Earth Orbit (GEO), seemingly inching both countries closer to a potential war in space. The study claims that the simulations focus on orbital adjustments to extend observation times and increase proximity to U.S. satellites, including critical missile warning and other space defense-oriented systems. The researchers also plan to integrate reinforcement learning methods into future space assets to give satellites even more independence from human operators. The study includes accusations of a Cold War in space activities, highlighting how modern spy satellites use relative motion configurations like fly-around, hovering, and drifting flight to gather intelligence on defense targets.

The study authors claim that the U.S. GSSAP satellite has carried out hundreds of maneuvers and conducted close observation operations on dozens of normally working satellites near GEO orbit since 2014. They also include a specific July 2021 accusation that the U.S. satellite “USA-271” deliberately approached the operational “Practice 20” satellite in geostationary orbit and flew in close proximity. The study authors also note that the U.S. Space Command did not address the specific incident or the accusations of “dozens” of similar operations in an email to The Debrief. The researchers designed a “waypoint trajectory planning scheme” and a “multi-impulse maneuver strategy” using a common game-theory tool called “minimum integral squared control” theory to optimize spacecraft efficiency and reduce fuel use.

The study's findings suggest that the Chinese approach to spacecraft proximity operations could enhance space situational awareness capabilities by using sequential coalition game theory to generate optimal observation strategies under minimum fuel constraints. The simulations showed that the spacecraft efficiency algorithm can successfully generate a multi-model combined observation strategy sequence under minimum fuel constraints. The effective observation time increases with larger observation distances and field-of-view angles, and reducing the model configuration size also contributes to improved observation performance. The study authors also said that the simulation results demonstrate that the algorithm can successfully generate the optimal combined observation sequence under minimum fuel constraints. The researchers plan to explore optimal initial points to further improve maneuver efficiency and explore a “reinforcement learning method,” suggesting future spacecraft could learn and adapt to evolving conditions to enhance their cold war in space information-gathering capabilities. The study’s implications extend beyond any single algorithm, showing how game-theoretic planning could help an observing satellite gather information from multiple angles while managing limited resources. The research highlights the potential for a future war in space and the need for more resilient architectures, improved space-domain awareness, and clearer expectations for close approaches.

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