AUTONOMOUS NAVIGATION OF PROBE BY X-RAY PULSARS BASED ON FADING MEMORY FILTERING
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Graphical Abstract
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Abstract
In view of the fact that the Extend Kalman Filter (EKF) is prone to be divergent in the autonomous navigation by X-ray pulsars, this paper proposes an algorithm utilizing the fading memory filter. Based on the study of the error pattern of the EKF with the increase of iterations, some possible reasons for the divergency are analyzed. The fading memory filter can be used to reduce the peak of error, while delaying the divergence
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