基于优先级的短波协同侦收资源调度方法
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摘要
为解决短波侦收中侦收阵地各自为战,缺乏指导性,导致重要信号的错漏失控问题,提出一种考虑目标信号优先级的短波协同侦收资源调度算法,根据目标信号属性构建优先级评估模型,以实现最大侦收效益和为调度目标,结合约束条件建立短波协同侦收资源调度模型并对其求解,采取侦收概率与信号优先级相结合的动态调度策略,使算法具有更强的寻优能力和指导意义,同时以调度成功率和实现价值率来反映调度算法对重要任务的调度性能。实验结果验证了所提方法的有效性。
The task of High Frequency( HF) interception is lack of guidance,which results in the miss of important signals. To solve this problem,a resource algorithm is presented based on the priority of target signals. According to the target signal property,the priority evaluation model is constructed. Optimal benefit for HF reception is taken as the objective function according to the constraint conditions. And a dynamic scheduling strategy of combing interception probability with signal priority is taken,so that the algorithm has a stronger ability to optimize guiding significance. And the scheduling success rate and realization value rate are taken to reflect the execution of scheduling algorithm. The results shows the effectiveness of the proposed method.
The task of High Frequency( HF) interception is lack of guidance,which results in the miss of important signals. To solve this problem,a resource algorithm is presented based on the priority of target signals. According to the target signal property,the priority evaluation model is constructed. Optimal benefit for HF reception is taken as the objective function according to the constraint conditions. And a dynamic scheduling strategy of combing interception probability with signal priority is taken,so that the algorithm has a stronger ability to optimize guiding significance. And the scheduling success rate and realization value rate are taken to reflect the execution of scheduling algorithm. The results shows the effectiveness of the proposed method.
引文
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[2]YANG W,ZU Y.The Research of Qo S Guarantee Mechanism of the Secondary Users in Cognitive Radio Networks[J].China Communications,2016,13(10):146-152.
[3]YU R,ZHONG W F,XIE S L,et al.Qo S Differential Scheduling in Cognitive-Radio-Based Smart Grid Networks:An Adaptive Dynamic Programming Approach[J].IEEE Transactions on Neural Networks and Learning Systems,2016,27(2):435-443.
[4]CHISHIRO H.RT-Seed:Real-Time Middleware for Semi-Fixed-Priority Scheduling[C]//IEEE,International Symposium on Real-Time Distributed Computing.IEEE,2016:1-2.
[5]BRUGGEN G V D,CHEN J J,HUANG W H.Schedulability and Optimization Analysis for Non-preemptive Static Priority Scheduling Based on Task Utilization and Blocking Factors[C]//Real-Time Systems.IEEE,2015:90-101.
[6]LIU J.Study on Multi-Objective Priority Scheduling Method of Sensor Networks[C]//International Conference on Cyberspace Technology.IET,2016.
[7]LEE J.Time-Reversibility for Real-Time Scheduling on Multiprocessor Systems[J].IEEE Transactions on Parallel&Distributed Systems,2017,28(1):230-243.
[8]张浩为,谢军伟,盛川.综合优先级规划下的相控阵雷达自适应调度方法[J].兵工学报,2016,11(37):2163-2169.
[9]张浩为,谢军伟,师俊朋,等.饱和时序下防空相控阵雷达动态优先级调度算法[J].北京航空航天大学学报,2016,12(42):2722-2729.
[10]郝才勇,彭忠宝.短波监测覆盖范围分析[J].中国无线电,2015,12(30):56-58.
[11]LU J B,XIAO H,XI Z M,et al.Multifunction Phased Array Radar Resource Management:Real-Time Scheduling Algorithm[J].Journal of Computational Information Systems.2011,7(2):385-393.
[12]MIRANDA S L C,BAKER C J,WOODBRIDGE K,et al.Comparison of Scheduling Algorithms for Multifunction Radar[J].IET Radar Sonar&Navigation,2007,1(6):414-424.