Title :
Modeling research of the satellite multi-user mission requirements based on multivariate statistical analysis method
Author :
Hao Hui-cheng ; Jiang Wei ; Li Yi-jun ; Pang Zhong-hua
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
Abstract :
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.
Keywords :
artificial satellites; pattern classification; pattern clustering; planning; scheduling; statistical analysis; complex mission requirements; k-means clustering method; mathematical statistics; multivariate statistical analysis method; orbital satellites; satellite mission planning; satellite mission scheduling; satellite multiuser classification; satellite multiuser mission requirement distribution; task allocation; Algorithm design and analysis; Analytical models; Distribution functions; Heuristic algorithms; Mathematical model; Planning; Satellites; K-means clustering; mission distribution; mission requirements; satellite multi-user;
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-3015-2
DOI :
10.1109/ICMSE.2012.6414177