TY - GEN
T1 - Modeling research of the satellite multi-user mission requirements based on multivariate statistical analysis method
AU - Hao, Hui Cheng
AU - Jiang, Wei
AU - Li, Yi Jun
AU - Pang, Zhong Hua
PY - 2012
Y1 - 2012
N2 - Because of the increasing number and types of orbital satellites, extensing satellite application range, as well as more complex mission requirements of multi-user, it's necessary and urgent to research mission requirements, which can be helpful to sovle satellite mission planning and scheduling. This paper builds the mission requirements model based on mathematical statistics perspective according to the problems of the satellite multi-user mission requirements, then studies the distribution of mission requirements, and proves its rationality. On the basis, this paper improves the mission requirements distribution of the satellite multi-user. Aiming at the problems of classification for satellite multi-user, K-means clustering method based on multivariate statistical analysis perspective is imposed to solve the classification of satellite multi-user mission requirements. It is showed that this method is practicable and high accuracy by analysising cluster results, and it can provide the basis for the solution to problems of task allocation in mission planning and scheduling of multi-satellite multi-user.
AB - Because of the increasing number and types of orbital satellites, extensing satellite application range, as well as more complex mission requirements of multi-user, it's necessary and urgent to research mission requirements, which can be helpful to sovle satellite mission planning and scheduling. This paper builds the mission requirements model based on mathematical statistics perspective according to the problems of the satellite multi-user mission requirements, then studies the distribution of mission requirements, and proves its rationality. On the basis, this paper improves the mission requirements distribution of the satellite multi-user. Aiming at the problems of classification for satellite multi-user, K-means clustering method based on multivariate statistical analysis perspective is imposed to solve the classification of satellite multi-user mission requirements. It is showed that this method is practicable and high accuracy by analysising cluster results, and it can provide the basis for the solution to problems of task allocation in mission planning and scheduling of multi-satellite multi-user.
KW - K-means clustering
KW - mission distribution
KW - mission requirements
KW - satellite multi-user
UR - https://www.scopus.com/pages/publications/84874374528
U2 - 10.1109/ICMSE.2012.6414177
DO - 10.1109/ICMSE.2012.6414177
M3 - 会议稿件
AN - SCOPUS:84874374528
SN - 9781467330145
T3 - International Conference on Management Science and Engineering - Annual Conference Proceedings
SP - 161
EP - 167
BT - 2012 International Conference on Management Science and Engineering, ICMSE 2012 - 19th Annual Conference Proceedings
T2 - 2012 19th Annual International Conference on Management Science and Engineering, ICMSE 2012
Y2 - 20 September 2012 through 22 September 2012
ER -