Precise Orbit Determination of the Spacecraft (2nd Edition)

A Special Issue of Aerospace (ISSN 2226-4310) belonging to the section "Astronautics & Space Science".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 678

Editors


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Guest Editor
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
Interests: mainly engaged in spacecraft orbit determination (OD) and relating applications, and research field involves earth satellite as well as deep space exploration spacecraft; participated in the Chinese lunar exploration project and Mars exploration project; developed the OD software for lunar and Mars satellite independently; interested in the application of altimetry data in deep space exploration, such as using altimetry data to improve the lunar topography as well as the orbit accuracy; also interested in the research on planetary gravity field and topography
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Guest Editor
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Interests: planetary science; planetary gravity field modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Precise Orbit Determination (POD) is very important for many science and technology research areas, such as planetary science, astrometry and celestial mechanics, space geodesy, Global Navigation Satellite Systems (GNSSs), lunar and deep space exploration, and space situational awareness. POD technology has developed rapidly from the late 20th century, especially after entering the 21st century. This Special Issue entitled "Precise Orbit Determination of the Spacecraft (2nd Edition)" in Aerospace will feature articles exploring the latest advancements in POD technology, including Earth satellites and cislunar spacecraft, lunar spacecraft, and deep space spacecraft. The development of technology relating to POD, such as ground-based/space-based tracking technology and highly dynamic modeling of satellites, is also welcome.

The Editor of this Special Issue invites authors to submit papers addressing the challenges in POD technology.

The insights presented in this Special Issue will provide valuable information for researchers, professionals, and students involved in aerospace science, engineering, and related fields. Overall, this Special Issue comprehensively surveys recent trends, innovations, and the future prospects of advanced POD technology.

Prof. Dr. Yong Huang
Prof. Dr. Jianguo Yan
Guest Editors

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Keywords

  • orbit determination
  • GNSS data
  • deep space exploration
  • cislunar navigation

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Published Papers (1 paper)

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Research

16 pages, 2609 KB  
Article
Adaptive Robust Orbit Determination Technology Based on Space-Based Multi-Satellite Cooperative Observation
by Ming Li, Mingying Huo, Tianchen Wang, Yisen Ma, Xiyan Zhao and Naiming Qi
Aerospace 2026, 13(6), 491; https://doi.org/10.3390/aerospace13060491 - 24 May 2026
Viewed by 354
Abstract
To address the nonlinear orbit determination problem under multi-satellite cooperative observation, this paper proposes an orbit determination method integrating a plane-constrained observation model with adaptive robust filtering. Based on angular measurements from multiple observation nodes, a linearized observation model is constructed using spatial [...] Read more.
To address the nonlinear orbit determination problem under multi-satellite cooperative observation, this paper proposes an orbit determination method integrating a plane-constrained observation model with adaptive robust filtering. Based on angular measurements from multiple observation nodes, a linearized observation model is constructed using spatial geometric constraints. The Maximum Correntropy Criterion is then introduced to adaptively weight each measurement component, and a hybrid kernel function is employed to suppress the effects of non-Gaussian noise and outliers. Meanwhile, an adaptive factor based on the covariance matching principle is designed to adjust the process noise intensity online, thereby improving the robustness of the Cubature Kalman Filter in state prediction and update. Simulation results under severe non-Gaussian noise show that the proposed adaptive robust cubature Kalman filter (ARCKF) reduces the position RMSE from 95.3 m for CKF to 30.8 m, corresponding to an improvement of approximately 67.7%, while increasing the computation time from 6.52 s to 7.35 s. These results indicate that the proposed method can achieve improved accuracy and robustness under uncertain measurement statistics and dynamic disturbances, making it suitable for space-based angles-only orbit determination, although further computational optimization is still required for onboard applications. Full article
(This article belongs to the Special Issue Precise Orbit Determination of the Spacecraft (2nd Edition))
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