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CEAS EuroGNC 2026

Trajectory Prediction of Maneuverable Non-Cooperative Spacecraft Using Time-Series Diffusion Model
Haoqi Huang Ph.D Student, Harbin Institute of Technology, Department of Control Science and Engineering, 150001, Harbin, China.
Pengyu Wang Professor, Harbin Institute of Technology, Department of Control Science and Engineering, 150001, Harbin, China.
Yuhan Liu Associate Professor, Harbin Institute of Technology, Department of Control Science and Engineering, 150001, Harbin, China.
Shaoming He Professor, Harbin Institute of Technology, Department of Control Science and Engineering, 150001, Harbin, China.
Yanning Guo Professor, Harbin Institute of Technology, Department of Control Science and Engineering, 150001, Harbin, China.
Abstract:
Trajectory prediction of non-cooperative spacecraft constitutes an important component of space defense. Existing studies have primarily focused on configuration classification and parameter identification under the assumption that the motion conforms to a fixed configuration or that the control laws possess a known form, there by enabling prediction of the future motion of non-cooperative spacecraft. In this paper, a diffusion-based time-series prediction model is introduced, which is not constrained by the aforementioned assumptions. A pursuit-evasion trajectory dataset is constructed in a representative close-range pursuit-evasion game scenario using reinforcement learning. The applicability of the Denoising Diffusion Probabilistic Model to the trajectory prediction task is then demonstrated. Finally, the effectiveness of the proposed model is validated through numerical simulations, in which comparisons with other time-series prediction models are presented, and model predictive control is subsequently employed to intercept the non-cooperative spacecraft based on the predicted trajectories.
Keywords: 
 View PDF CEAS-GNC-2026-056 doi: 10.82124/CEAS-GNC-2026-056


Haoqi Huang, Pengyu Wang, Yuhan Liu, Shaoming He, Yanning Guo: Trajectory Prediction of Maneuverable Non-Cooperative Spacecraft Using Time-Series Diffusion Model. Proceedings of the 2026 CEAS EuroGNC conference. Madrid, Spain. May 2026. doi: 10.82124/CEAS-GNC-2026-056.
BibTeX entry (UTF-8):

@Incollection{CEAS-GNC-2026-056,
    author = {Huang, Haoqi and Wang, Pengyu and Liu, Yuhan and He, Shaoming and Guo, Yanning},
    title = {Trajectory Prediction of Maneuverable Non-Cooperative Spacecraft Using Time-Series Diffusion Model},
    booktitle = {Proceedings of the 2026 {CEAS EuroGNC} conference},
    address = {Madrid, Spain},
    month = may,
    year = {2026},
    doi = {10.82124/CEAS-GNC-2026-056}
}