动态时间窗下的相控阵雷达自适应调度算法

孙铭才 张秦 陈光陆

孙铭才, 张秦, 陈光陆. 动态时间窗下的相控阵雷达自适应调度算法[J]. 雷达学报, 2018, 7(3): 303-312. doi: 10.12000/JR17104
引用本文: 孙铭才, 张秦, 陈光陆. 动态时间窗下的相控阵雷达自适应调度算法[J]. 雷达学报, 2018, 7(3): 303-312. doi: 10.12000/JR17104
Sun Mingcai, Zhang Qin, Chen Guanglu. Dynamic Time Window Adaptive Scheduling Algorithm for the Phased Array Radar[J]. Journal of Radars, 2018, 7(3): 303-312. doi: 10.12000/JR17104
Citation: Sun Mingcai, Zhang Qin, Chen Guanglu. Dynamic Time Window Adaptive Scheduling Algorithm for the Phased Array Radar[J]. Journal of Radars, 2018, 7(3): 303-312. doi: 10.12000/JR17104

动态时间窗下的相控阵雷达自适应调度算法

DOI: 10.12000/JR17104
基金项目: 国家自然科学基金(61601499)
详细信息
    作者简介:

    孙铭才(1993–),男,助理工程师,主要从事相控阵雷达资源管理研究。E-mail: 398327155@qq.com

    张 秦,男,副教授,主要研究方向为雷达信号处理。E-mail: kinzh@263.net

    陈光陆,高级技工,主要从事雷达装备维修。E-mail: 605321038@qq.com

    通讯作者:

    张秦   kinzh@263.net

Dynamic Time Window Adaptive Scheduling Algorithm for the Phased Array Radar

Funds: The National Natural Science Foundation of China (61601499)
  • 摘要: 针对相控阵雷达任务调度问题,该文提出了一种基于动态时间窗的任务调度方法。该方法根据目标跟踪滤波中的残差和雷达对目标跟踪波门之间的约束关系以及搜索帧周期的约束,分别实现对跟踪任务和搜索任务的时间窗计算。最后将该方法与传统固定时间窗方法进行对比仿真,仿真结果证明了所提方法的有效性和优越性。

     

  • 图  1  任务模型

    Figure  1.  Task model

    图  2  跟踪波门

    Figure  2.  Tracking gate

    图  3  调度流程图

    Figure  3.  Flow chart of the scheduling algorithm

    图  4  时间利用率曲线

    Figure  4.  Curve of time utilization ratio

    图  5  目标失跟率曲线

    Figure  5.  Curve of target tracking loss ratio

    图  6  A目标航迹图

    Figure  6.  Flight path of target A

    图  7  A目标跟踪距离误差曲线

    Figure  7.  Tracking error of distance of target A

    图  8  A目标时间窗曲线

    Figure  8.  Time window of target A

    图  9  完成一帧搜索时间曲线

    Figure  9.  Curve of a frame search time

    图  10  搜索任务延迟时间窗曲线

    Figure  10.  Time window of search task

    表  1  任务参数设置

    Table  1.   Parameters of tasks

    任务 驻留参数( ${t_{\rm{x}}}$, ${t_{\rm{w}}}$, ${t_{\rm{r}}}$)(ms) 功率(kW) 提前时间窗(ms) 延迟时间窗(ms) 采样间隔(ms)
    验证 1, 4, 1 5 30 30
    跟踪 0.5, 3.0, 0.5 4 30 30 100
    失跟处理 1, 4, 1 5 50 50 1000
    搜索 1, 4, 1 5 100 100 10
    下载: 导出CSV
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出版历程
  • 收稿日期:  2017-11-09
  • 修回日期:  2018-02-07
  • 网络出版日期:  2018-06-28

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