面向通导遥一体化的多目标协同星座架构的优化设计OA

Addressing the exacerbated extreme disaster losses in China under the context of global climate change and the triple gaps of existing satellite systems in emergency response—limited satellite data return windows,increased end-to-end latency due to segregated deployment of communication,navigation and remote sensing,and single-satellite failures causing response delays in high-risk areas,a constellation architecture integrating communication,navigation and remote sensing is proposed,featuring a"medium-high orbit com-munication and navigation relay layer+heterogeneous low orbit sensing layer".The medium-high orbit satellites enable real-time cross-border data downlinking for low orbit satellites via Ka-band inter-satellite links and enhance low orbit satellites positioning accuracy to the centimeter level using SBAS wide-area differential corrections.For China's urban agglomerations and high-risk forest fire zones,the low orbit layer innovatively designs three types of orbit synergy schemes featuring payload heterogeneity(visible light/infrared/SAR):mixed-inclination heterogeneous architectures,dawn-dusk orbit clusters,and functionally layered disaggregation.It integrates miniaturized navigation payloads to achieve integrated rapid sensing and precise positioning.Simulation results show that the dawn-dusk orbit cluster scheme outperforms the mixed-inclination heterogeneous and functionally layered disaggregation schemes in terms of cov-erage uniformity and multi-payload synergy.This constellation design can provide crucial technical support for urban disaster prevention.