orbital: orbital Bayesian Network

orbitalR Documentation

orbital Bayesian Network

Description

Approaching ntention prediction of orbital maneuver based on dynamic Bayesian network.

Format

A (dynamic) discrete Bayesian network to to help operators recognize the approaching intention quickly and systemically. Probabilities were given within the referenced paper. Ten time slices of the dynamic network are constructed. The vertices in the first time slice are:

ApproachingIntentionT1

(Hover, Attach, Capture, Approach);

LocationT1

(Within the threat range, Outside the threat range);

ManeuverT1

(Maneuver, Non-maneuver);

RelativeVelocityT1

(Fast, Slow);

HeadingT1

(0-110 degress, 110 degrees);

RelativeDistanceT1

(Far, Near);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Shibo, C. H. E. N., Jun, L. I., Yaen, X. I. E., Xiande, W. U., Shuhang, L. E. N. G., & Ruochu, Y. A. N. G. (2023). Approaching Intention Prediction of Orbital Maneuver Based on Dynamic Bayesian Network. Transactions of Nanjing University of Aeronautics & Astronautics, 40(4).


bnRep documentation built on April 12, 2025, 1:13 a.m.