Research On Emergency Reconstruction For Small Imaging Reconnaissance Satellites

Modern aerospace reconnaissance system has already changed to support the comprehensive application requirement of battle field with several levels of strategy campaign and tactics, instead of the single support to the national strategy intelligence. It has incomparable advantages compared with other reconnaissance ways, which has become the key to occupy information dominance, guarantee information privilege and win the future high-tech wars and also become one important part of C4ISR system. The technology of small satellites has been forced by military requirement, which has incomparable advantages in outer space celerity response and outer space counterwork and is adaptive to the tactics exertion of the area conflict and battle. When the capability of the imaging reconnaissance is insufficient toward the unexpected military task, to make use of the technology of small satellites to increase the capability of the imaging reconnaissance, form the capability of space response quickly, and support operation units more quickly, precisely, flexibly and reliably is a very important problem in terms of construction in the future space information system.This dissertation investigates the problems of emergency reconstruction for small imaging reconnaissance satellites, in order to make use of small imaging reconnaissance satellites to implement emergency reconstruction. It focuses on giving the capability index of imaging reconnaissance about the time, the space and quality, constructing the mathematics model of emergency reconstruction for small imaging reconnaissance satellites, searching after the solving algorithm of the model, designing a stimulation case to validate the correctness of the model and the validity of arithmetic, which can provide relevant theories, methods and computing techniques for organizing small imaging reconnaissance satellites resources according to the imaging reconnaissance information requirements of the paroxysmal tasks. The contributions of this dissertation are as follows:Firstly, on the basis of introducing the principle and characteristics of small imaging reconnaissance satellites compactly, this dissertation analyzes the missions that is small imaging reconnaissance satellites'function, gives the basic process of emergency reconstruction, expounds detailed every step of the basic process, proposes the basic framework of the emergency reconstruction for small imaging reconnaissance satellites, and point out the scope of this research.Secondly, to ascertain the optimizing objects of the emergency reconstruction system and reflect users'requirement, the capability indexes of imaging reconnaissance are constructed. The definitions and computing formula of the capability indexes of imaging reconnaissance are given. In order to understand and compute the capability index more easily, the objective area is divided up. In order to be propitious to construct the mathematics model of the problem, index computing approach is expounded compactly and the principle and methods of how to choose the capability index is discussed.Next, this dissertation makes sure the basic import and output about the problem of emergency reconstruction for small imaging reconnaissance satellites, supposes and simplify the problem rationally according to the researching emphases, designs the small satellite constellation of emergency reconstruction, studies the relationship of the objective and restriction, constructs the mathematics model of the problem about emergency reconstruction for imaging reconnaissance, and analyzes the characteristics of the mathematics model.Finally, according to the characteristics of the mathematics model, multi-objective evolutionary algorithm of NSGA-II is studied and chose to solve the mathematics model. The basic theory, the optimization strategy and the algorithm process of NSGA-II are introduced. To validate the correctness of the proposed model and algorithm, a simulation case of multi-satellite imaging reconnaissance for area target is designed, and experiment results were analyzed.