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Mission Planning For Satellite Observation Of Muti-Satellite And Muti-Data Reception Station

Posted on:2011-06-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y FengFull Text:PDF
GTID:2232330395455424Subject:Computer technology
Abstract/Summary:
With the development of space techniques, both the kind and the amount of the earth observation Satellite augment rapidly. However, the satellites and collection resources are very limited relative to the range of the options available to the observing tasks. When resources are limited, only a portion of the target can be observed, making it imperative to plan the allocation of sensor and ground resources effectively. Scheduling of earth observation satellites means to allocate multiple resources to multiple competitive tasks without conflict and ascertain the execution times of those tasks according to the users, requirements and satellite capabilities, accordingly makes the most use of the limited resources in order to satisfy multifarious observing requirements in future. The main research contents of this thesis are as follows:Firstly, on the basis of analysis of the principle and the process of earth observation and the flow of mission scheduling, we summarize the main constraints in scheduling of earth observation Satellites and acquire the basic demand of mission scheduling, thus put forward the model of scheduling problem of earth observation satellites.Secondly, we emphasis on the investigation of the solving algorithm. In the first place, we introduce the senetic algorithm and simulated annealing algorithm, analyze the techno-theory of associated mission scheduling, and set forth the approach of realizing the techniques.Lastly, we apply the research on a mission scheduling system of earth observation Satellites, and show the framework, the makeup of the software and the process of work, and the result confirms the applicability and validity of our research.
Keywords/Search Tags:Earth Observation Satellites, Mission Scheduling, Genetic, Algorithm, Simulated Annealing, Cooperative Planning
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