GNSS-powered autonomous navigation for moon-bound spacecraft

As lunar missions gain momentum, the demand for advanced navigation technologies that exceed traditional Earth-based systems grows. A new 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 exploration.

Researchers from Shandong University, in collaboration with the Shandong Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, have published the study in Satellite Navigation on July 1, 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 using GNSS signals. 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/N₀) 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, states, “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.