通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化OA

Traditional communication satellites and remote sensing satellites typically operate independently,not only resulting in low utilization of orbital,energy,and other resources,but also making it difficult to meet the demand for real-time global remote sensing.To enhance resource utilization and overall network performance,this study conducted research on the joint optimization of remote sensing pulse frequency and data backhaul routing for an integrated communication and remote sensing satellite network.Firstly,considering the dynamic characteristics and predictable periodic motion of satellites,the time-expanded graph was employed to model the satellite network.Selondly,based on satellite imaging and data transmission models,a mixed-integer linear programming problem was formu-lated to maximize the pulse repetition frequency under energy and transmission time-slot constraints.Meanwhile,to address the high computational complexity of the problem,a solution algorithm based on Benders decomposition was proposed,which decomposed the original problem into a master problem and a subproblem,thereby reducing computational complexity and improving efficiency.Finally,simulation analyses were performed,and the results verified the rationality and effectiveness of the proposed algorithm,providing a valuable reference for the study of integrated communication and remote sensing satellite networks.