An Autonomous Navigation Algorithm for High Orbit Satellite Using Star Sensor and Ultraviolet Earth Sensor

Abstract EN

An autonomous navigation algorithm using the sensor that integrated the star sensor (FOV1) and ultraviolet earth sensor (FOV2) is presented.

The star images are sampled by FOV1, and the ultraviolet earth images are sampled by the FOV2.

The star identification algorithm and star tracking algorithm are executed at FOV1.

Then, the optical axis direction of FOV1 at J2000.0 coordinate system is calculated.

The ultraviolet image of earth is sampled by FOV2.

The center vector of earth at FOV2 coordinate system is calculated with the coordinates of ultraviolet earth.

The autonomous navigation data of satellite are calculated by integrated sensor with the optical axis direction of FOV1 and the center vector of earth from FOV2.

The position accuracy of the autonomous navigation for satellite is improved from 1000 meters to 300 meters.

And the velocity accuracy of the autonomous navigation for satellite is improved from 100 m/s to 20 m/s.

At the same time, the period sine errors of the autonomous navigation for satellite are eliminated.

The autonomous navigation for satellite with a sensor that integrated ultraviolet earth sensor and star sensor is well robust.