A pioneering study enhances autonomous spacecraft navigation between Earth and the Moon using the Global Navigation Satellite System (GNSS). By implementing an adaptive Kalman filter, the research tackles navigational challenges like weak signals and poor observation conditions near the Moon, significantly improving the precision and reliability of future space exploration missions.
As lunar missions gain momentum, the demand for advanced navigation technologies that exceed traditional Earth-based systems grows. This study addresses the challenges of weak Global Navigation Satellite System (GNSS) signals and spacecraft maneuvers in the lunar space, emphasizing the need for sophisticated integrated navigation systems. Combining GNSS, Inertial Navigation System (INS), and star trackers, this research paves the way for enhanced accuracy and stability in space navigation, essential for the success of future space explore.
Researchers from Shandong University, in collaboration with the Shandong Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, have published a new study (DOI: 10.1186/s43020-024-00140-x) in Satellite Navigation on July 01, 2024. The study introduces an adaptive Kalman filter to enhance GNSS performance for spacecraft navigating in the Earth-Moon space.
This study introduces an adaptive algorithm that significantly enhances accuracy for spacecraft navigating the challenging Earth-Moon space use GNSS signal. Simulation results reveal remarkable improvements in navigation precision, with position and velocity accuracies improving to less than 50 meters and 0.2 m/s near the Moon, respectively. By utilizing the Carrier-to-Noise ratio ( C/N 0 ) and innovation vectors, the algorithm effectively mitigates GNSS signal degradation. The integration of GNSS with INS and star trackers compensates for dynamic model instabilities, ensuring highly reliable and precise navigation. This breakthrough marks a significant advancement in autonomous navigation, crucial for the success of future lunar and deep space missions.
Dr. Tianhe Xu, a prominent space science researcher, highlights the impact of this study: "Integrating GNSS, INS, and star trackers marks a significant advancement in autonomous space navigation. This approach not only enhances precision but also fortifies the robustness of spacecraft operations in deep space, heralding new possibilities for future interstellar missions."
This technology could transform space travel, providing more dependable and precise navigation methods for lunar and interstellar missions. With the potential to support forthcoming lunar projects and deep space explorations, this technology offers robust autonomous navigation capabilities tailored to meet the unique challenges of space environments.
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References
DOI
Original Source URL
https://doi.org/10.1186/s43020-024-00140-x
Funding information
This research was funded by the National Key Research and Development Program of China (2020YFB0505804) and National Natural Science Foundation of China (Grant Nos. 42388102 and 42204015) and Natural Science Foundation of Shandong Province (ZR2022QD094). Data will be made available on request.
About Satellite Navigation
Satellite Navigation (E-ISSN: 2662-1363; ISSN: 2662-9291) is the official journal of Aerospace Information Research Institute, Chinese Academy of Sciences . The journal aims to report innovative ideas, new results or progress on the theoretical techniques and applications of satellite navigation. The journal welcomes original articles, reviews and commentaries.
Satellite Navigation
Not applicable
Navigation performance analysis of Earth–Moon spacecraft using GNSS, INS, and star tracker
1-Jul-2024
The authors declare that they have no competing interests.