航空学报 > 2018, Vol. 39 Issue (12): 322313-322313   doi: 10.7527/S1000-6893.2018.22313

基于二维资源管理的多功能雷达任务调度算法

田泰方1, 张群1, 陈怡君2, 孟迪3, 何其芳4   

  1. 1. 空军工程大学 信息与导航学院, 西安 710077;
    2. 武警工程大学 信息工程学院, 西安 710086;
    3. 中国人民解放军93303部队, 沈阳 110043;
    4. 中国人民解放军93534部队, 天津 301700
  • 收稿日期:2018-05-10 修回日期:2018-07-19 出版日期:2018-12-15 发布日期:2018-09-04
  • 通讯作者: 张群 E-mail:zhangqun_64@yahoo.sg
  • 基金资助:
    国家自然科学基金(61631019)

A task scheduling algorithm for multifunctional radar based on two-dimensional resource management

TIAN Taifang1, ZHANG Qun1, CHEN Yijun2, MENG Di3, HE Qifang4   

  1. 1. Institute of Information and Navigation, Air Force Engineering University, Xi'an 710077, China;
    2. College of Information Engineering, Engineering University of CAPF, Xi'an 710086, China;
    3. People's Liberation Army No. 93303 Unit, Shenyang 110043, China;
    4. People's Liberation Army No. 93534 Unit, Tianjin 301700, China
  • Received:2018-05-10 Revised:2018-07-19 Online:2018-12-15 Published:2018-09-04
  • Supported by:
    National Natural Science Foundation of China (61631019)

摘要: 动态孔径分割技术为相控阵雷达针对不同任务灵活分配孔径资源提供了可能,而传统的资源调度方法仅基于单一孔径条件研究了时间资源的优化分配问题。针对雷达搜索、跟踪与成像任务的自适应调度问题,提出了一种基于时间-孔径二维资源管理的雷达资源调度算法。该算法建立了雷达孔径分割条件下的二维资源调度模型,确立了能量资源约束条件;利用基于压缩感知的稀疏孔径逆合成孔径雷达(ISAR)成像技术,使雷达在完成目标搜索和跟踪任务的同时实现对目标的成像;定义了调度算法性能的评价指标。在仿真实验中将该算法与另外2种算法进行对比,验证了所提算法在高度成功率、二维资源利用率与任务并行度这3种性能指标上具有优越性。

关键词: 相控阵雷达, 资源调度, 动态孔径分割, 时间-孔径二维资源, 稀疏ISAR成像, 雷达执行效率

Abstract: The dynamic aperture segmentation technique ensures a flexible allocation ofaperture resources from the phased array radar to different tasks, whereas the traditional resource scheduling algorithms only have studied the optimal allocation of time resources based on the single aperture condition. To address the adaptive scheduling for radar searching, tracking and imaging tasks, a radar resource scheduling algorithm based on two-dimensional resource management of time aperture is proposed. The algorithm establishes a 2D resource model in condition of aperture segmentation of radar, and sets the energy constraints. Then using the sparse aperture Inverse Synthetic Aperture Radar (ISAR) imaging technology based on compressed sensing, the design achieves the imaging of targets at the same time of completing searching and tracking tasks. Finally the study defines an evaluation index of the performance of scheduling algorithms. And the comparisons of simulations between the proposed algorithm and two other algorithms demonstrate that the proposed algorithm has advantages in scheduling success rate, two-dimensional resource utilization rate and task parallel degree.

Key words: phased array radar, resource scheduling, dynamic aperture segmentation, time aperture 2D resources, sparse ISAR imaging, radar execution efficiency

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