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基于变长度调度间隔的雷达资源调度算法
引用本文:刘俊凯,陈忠宽,马 梁,任明秋.基于变长度调度间隔的雷达资源调度算法[J].太赫兹科学与电子信息学报,2016,14(1):58-63.
作者姓名:刘俊凯  陈忠宽  马 梁  任明秋
作者单位:Air Force Early Warning Academy,Wuhan Hubei 430019,China,Air Force Early Warning Academy,Wuhan Hubei 430019,China,Air Force Early Warning Academy,Wuhan Hubei 430019,China and Air Force Early Warning Academy,Wuhan Hubei 430019,China
基金项目:国家自然科学基金资助项目(61302193,61401503)
摘    要:在相控阵雷达完成精密跟踪和目标识别等不同任务时,波形、数据率和积累时间等雷达资源需要自适应改变,基于固定长度调度间隔的自适应调度算法较为复杂且不能充分利用雷达资源。提出了一种基于变长度调度间隔的自适应资源调度算法,根据任务请求的重要性函数安排待执行的雷达事件顺序,并根据雷达资源的动态变化情况,自适应地调整调度间隔的时间长度。利用VC语言建模弹道导弹目标和多功能地基相控阵雷达,进行分布式仿真,通过直观观测资源调度的执行过程,以及通过目标跟踪数量和时间利用率两个指标,评价了资源调度算法性能。改进算法的软件实现较为容易,可以增加目标跟踪数量,节约时间资源。

关 键 词:多功能地基相控阵雷达  自适应资源调度  变长度调度间隔  雷达资源需求
收稿时间:2014/11/10 0:00:00
修稿时间:1/6/2015 12:00:00 AM

Radar resource scheduling algorithm based on variable length scheduling interval
LIU Junkai,CHEN Zhongkuan,MA Liang and REN Mingqiu.Radar resource scheduling algorithm based on variable length scheduling interval[J].Journal of Terahertz Science and Electronic Information Technology,2016,14(1):58-63.
Authors:LIU Junkai  CHEN Zhongkuan  MA Liang and REN Mingqiu
Abstract:When phased array radar fulfills tasks such as precise tracking and target identification, and so on, radar resource, such as waveform, data rate, accumulation time, must be changed adaptively. A resource scheduling algorithm based on fixed length scheduling interval is very complicated and does not fully utilize radar resource. An adaptive scheduling algorithm based on variable length scheduling interval is presented. The algorithm performs ordering of radar events based on the importance function of task request, and adaptively adjust the time length of scheduling interval based on the dynamic change of radar resource. The ballistic missile simulator and the multifunctional ground-based phased array radar simulator are modeled using VC language, and distributed simulation is carried out. Through visually observing the implementing process of resource scheduling, and through the two indexes, namely both target tracking amount and rate of time utilization, the scheduling performance is evaluated. The modified algorithm could be implemented easily, and could increase target tracking amount, and save time resource.
Keywords:
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