Research On Task Planning Techniques For Imaging Observation Satellites In Collaboration With Multi-source Information Detection And Coverage Performance Analysis Techniques

To achieve collaboration in satellite reconnaissance and signal reconnaissance so to use the satellite resources effectively, this paper establish the imaging satellite mission planning model and the imaging satellite coverage model in collaboration with multi-sources information detection. And solving algorithm for these model has been researched. The main contributions are listed as followed.(1) Research on imaging satellite mission planning modeling in collaboration with multi-source information detectionBased on the imaging satellite mission planning model, this paper presents the operating principle of satellite reconnaissance and signal reconnaissance, how to achieve collaboration in satellite reconnaissance and signal reconnaissance. Besides, this paper describes the constraints and modeling in these problems. Finally, this paper definite the parameters and constraints specifically, and express the decision variables and constraints in the form of mathematical formulas.(2) Research on coverage performance of the imaging satellite in gridding spaceAnalysis of coverage performance is the basis of solving the imaging satellite mission planning. This paper mainly research on the coverage performance of the imaging satellite covering the targets in the region. Firstly, basic conceptions of the coverage of satellite are described and the solving the model is presented. And grid is used to divide the region. Finally, this paper analyses the coverage performance based on the gridding space.(3) Research on solving the multi-source information detection based on rolling ordination and improved genetic algorithmFor the complicate constraints on the imaging satellite mission planning and the missions are uncertain in signal reconnaissance, solving the model of the mission planning is difficult. In this section, basic conceptions about imaging satellite mission planning are introduced. And the allocation scheme on satellite mission is presented. According to the specific ordination, new missions are distributed to every satellite. With the base constraints, rolling ordination and genetic algorithm are introduced. To guarantee the profit of planning and completion of the missions, solving methods based on rolling ordination and genetic algorithm are proposed. Besides, to overcome the early constriction of genetic algorithm, the genetic algorithm is improved.