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目前,我国出现了以组网方式运行的对地观测卫星群.相比以往,其地面观测目标较为集中且观测数据时效性要求更高.然而由于地面站等数传资源十分有限,且地理位置相对集中,这导致了卫星数传冲突加剧;但同时伴随着呈现出反复的周期性特点.研究利用当前数传冲突消解的具体信息可以为卫星重访时的数传调度提供指导,优化卫星数传调度进程.为此,本文应用免疫遗传算法进行解决.免疫遗传算法基于免疫网络理论,引入了免疫记忆机制,能避免遗传算法早熟同时加快算法收敛.通过仿真实验,本文算法具有可行性和有效性.
At present, there is a group of earth observation satellites operating in a network in China, which has a relatively high concentration of surface observation targets and a higher requirement for timeliness of observation data than in the past. However, due to the limited number of data sources such as ground stations and the geographical location However, at the same time, with the recurring cyclical characteristics, the research makes use of the specific information of current digital collisions to resolve the data transfer schedule when the satellite revisits, and optimizes the number of satellites To solve this problem, we use immune genetic algorithm to solve the problem.An immune genetic algorithm based on immune network theory, the introduction of the immune memory mechanism, to avoid premature convergence of the genetic algorithm while accelerating the algorithm.Through simulation experiments, the algorithm is feasible and effective Sex.