TY - GEN
T1 - A Fast Computation Method for the Satellite-to-Site Visibility
AU - Han, Chao
AU - Yang, Pengbin
AU - Wang, Xiaohui
AU - Liu, Shenggang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/28
Y1 - 2018/9/28
N2 - The satellite-to-site visibility problem, which refers to the determination of opportunities for a satellite to observe or communicate with an object on the Earths surface, plays an important role in in the practical application of engineering. This paper presents a novel fast computation method for satellite-to-site visibility determination. The Radial-basis Functions (RBF) is utilized to approximate the discriminant function of the satellite-to-site visibility. Meanwhile, in order to improve the accuracy of the RBF, an adaptive interpolation method is used to generate more samples to construct the RBF approximation. The accurate rise and set times are obtained by solving a set of simply optimization problems about the RBF. To further increase the computational speed, an interval shrinking strategy is adopted via investigating the geometric relationship between the ground viewing cone and the orbit trajectory. Numerical results show a significant decrease in computation cost compared with the brute force method. In addition, the method is suitable for all orbital types and analytical orbit propagators.
AB - The satellite-to-site visibility problem, which refers to the determination of opportunities for a satellite to observe or communicate with an object on the Earths surface, plays an important role in in the practical application of engineering. This paper presents a novel fast computation method for satellite-to-site visibility determination. The Radial-basis Functions (RBF) is utilized to approximate the discriminant function of the satellite-to-site visibility. Meanwhile, in order to improve the accuracy of the RBF, an adaptive interpolation method is used to generate more samples to construct the RBF approximation. The accurate rise and set times are obtained by solving a set of simply optimization problems about the RBF. To further increase the computational speed, an interval shrinking strategy is adopted via investigating the geometric relationship between the ground viewing cone and the orbit trajectory. Numerical results show a significant decrease in computation cost compared with the brute force method. In addition, the method is suitable for all orbital types and analytical orbit propagators.
KW - Radial-basis Functions
KW - adaptive interpolation method
KW - optimization problems
KW - satellite-to-site visibility
UR - https://www.scopus.com/pages/publications/85056273889
U2 - 10.1109/CEC.2018.8477984
DO - 10.1109/CEC.2018.8477984
M3 - 会议稿件
AN - SCOPUS:85056273889
T3 - 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
BT - 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Congress on Evolutionary Computation, CEC 2018
Y2 - 8 July 2018 through 13 July 2018
ER -