基于数据续传的微波/激光混合链路中继星资源调度  

Resources scheduling of relay satellites in microwave and laser hybrid links based on data continuous transmission

作　　者：赵卫虎[1] 赵静[1] 赵尚弘[1] 邓博于 东晨[1] 李勇军[1] 董毅[1] 

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077

出　　处：《光电子．激光》2014年第11期2100-2107,共8页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金(61271250);航空科学基金(20125896020);中国博士后科学基金(2012M512066)资助项目

摘　　要：针对成像、遥感等卫星采集的大容量数据难以及时回传的问题,提出了一种基于数据续传和微波/激光混合链路的数据中继资源调度算法。分析了混合链路中继卫星系统任务数据续传特点,以完成优先级加权任务量最大、续传次数最少为调度原则,建立了混合链路任务续传约束规划模型。以任务的调度顺序为优化对象,采用任务整传优先和续传次数最少为调度原则确定任务的天线资源和时隙分配,提出一种基于自适应小窗口蚁群(ASAC,adaptive small-window ant colony)算法的任务续传资源调度优化算法。仿真实验表明,所建调度模型可实现多颗中继星资源的有效分配,提出的ASAC算法具有较快的收敛速度和较强的全局优化能力,算法可最大满足用户星数据及时回传的需求。According to the problem that the large capacity data collected by imaging, remote sensing sat ellites is difficult to return back timely,a scheduling algorithm in microwave/laser hybrid links for relay resources based on data continuous transmission strategy is proposed. The job data continuous transmis- sion features with hybrid links data relay satellites system are analyzed. To maximize the amount of pri- ority weighted jobs and minimize the times of data continuous transmissions, a constraint satisfaction model of data continuous transmission with hybrid links is established. Setting the jobs＇ scheduling se- quence as the optimization object, a resource scheduling optimization algorithm of data continuous trans- mission based on adaptive small-window ant colony algorithm is presented. Simulation results show that the scheduling model can realize effective allocation of multiple relay satellite resources, and the adaptive small-window ant colony algorithm has fast convergence speed and strong capability of global optimiza- tion. The algorithm can meet the demand of user data timely returning very well.

关 键 词：中继卫星 混合链路 资源调度 蚁群算法 数据续传 

分 类 号：TP390[自动化与计算机技术—计算机应用技术]