Keywords :
Autonomous navigation; Deep space; Image processing; Interplanetary missions; Onboard estimation; Spacecraft; Sun-based navigation; Full disks; Ground stations; Images processing; Interplanetary mission; Interplanetary navigation; Solar imaging; Aerospace Engineering; Astronomy and Astrophysics; Space and Planetary Science
Abstract :
[en] This paper introduces a novel method for autonomous interplanetary navigation leveraging full-disk solar imaging. The growing number of small satellites in simultaneous deep-space missions has determined congestion issues in ground stations, demanding alternatives methods to radiometric tracking to be developed for orbit determination. The navigation approach of this study utilizes the apparent size of the Sun captured through white-light imaging to estimate the spacecraft's distance from the Sun, combined with centroid information for determining the relative position vector, provided spacecraft attitude is known. The image processing pipeline employed to extract the solar diameter and centroid from images, as well as the navigation filter formulation to sequentially estimate the spacecraft's orbit in deep space, are presented in this paper. The methodology has been tested along a representative interplanetary trajectory, demonstrating promising performance in both position and velocity estimates, allowing the tracking of a reference orbit in deep space onboard satellites. This method may prove useful for initial orbit determination, orbit recovery, contingency, or as back-up to radiometric tracking, thus off-loading ground stations and shifting navigation routines onboard satellites.
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