基于二维资源管理的多功能雷达任务调度算法

doi:10.7527/S1000-6893.2018.22313

电子电气工程与控制

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

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. 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. 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/Abstract

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

中图分类号:

V243.2

田泰方, 张群, 陈怡君, 孟迪, 何其芳. 基于二维资源管理的多功能雷达任务调度算法[J]. 航空学报, 2018, 39(12): 322313-322313.

TIAN Taifang, ZHANG Qun, CHEN Yijun, MENG Di, HE Qifang. A task scheduling algorithm for multifunctional radar based on two-dimensional resource management[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(12): 322313-322313.

参考文献

[1] CHAVALI P, NEHORAI A. Scheduling and power allocation in a cognitive radar network for multiple-target tracking[J]. IEEE Transactions on Signal Processing, 2012, 60(2):715-729.
[2] LIU X W, ZHANG Q, CHEN Y C, et al. Task allocation optimization for multi-target ISAR imaging in radar network[J]. IEEE Sensors Journal, 2018, 18(1):122-132.
[3] 孟迪, 张群, 罗迎, 等. 基于脉冲交错的数字阵列雷达任务优化调度算法[J]. 航空学报, 2017, 38(8):320930. MENG D, ZHANG Q, LUO Y, et al. An effective scheduling algorithm for digital array radar based on pulse interleaving[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(8):320930(in Chinese).
[4] 毕增军, 徐晨曦, 张贤志, 等. 相控阵雷达资源管理技术[M]. 北京:国防工业出版社, 2016:5-6. BI Z J, XU C X, ZHANG X Z, et al. Resourcemanagement technology of phased array radar[M]. Beijing:National Defense Industry Press, 2016:5-6(in Chinese).
[5] CHEN Y J, ZHANG Q, LUO Y, et al. Multi-target radar imaging based on phased-MIMO technique-Part Ⅱ:Adaptive resource allocation[J]. IEEE Sensors Journal, 2017, 17(19):6198-6209.
[6] 王祥丽, 易伟, 孔令讲. 基于多目标跟踪的相控阵雷达波束和驻留时间联合分配方法[J]. 雷达学报, 2017, 6(6):602-610. WANG X L, YI W, KONG L J. Joint beam selection and dwell time allocation for multi-target tracking in phased array radar system[J]. Journal of Radars, 2017, 6(6):602-610(in Chinese).
[7] 梁百川. 电子战装备一体化技术[J]. 信息与电子工程, 2010, 8(4):397-400. LIANG B C. Integration technology of electronic warfare equipment[J]. Information and Electronic Engineering, 2010, 8(4):397-400(in Chinese).
[8] XUE G, DU Z, WANG W, et al. Multi-beam dwell adaptive scheduling algorithm for helicopter-borne radar[C]//Information Technology and Artificial Intelligence Conference. Piscataway, NJ:IEEE Press, 2014:401-404.
[9] HUGHES P K, CHOE J Y. Overview of advanced multifunction RF system (AMRFS)[C]//IEEE International Conference on Phased Array Systems and Technology, Proceedings. Piscataway, NJ:IEEE Press, 2000:21-24.
[10] TAVIK G C, HILTERBRICK C L, EVINS J B, et al. The advanced multifunction RF concept[J]. IEEE Transactions on Microwave Theory & Techniques, 2005, 53(3):1009-1020.
[11] 綦文超, 杨瑞娟, 李晓柏, 等. 多功能一体化雷达任务调度算法研究[J]. 雷达科学与技术, 2012, 10(2):150-155. QI W C, YANG R J, LI X B, et al. Research on task scheduling algorithm for multifunction integrated radar[J]. Radar Science & Technology, 2012, 10(2):150-155(in Chinese).
[12] 綦文超, 杨瑞娟, 李晓柏, 等. 基于最小时间窗的多功能雷达调度算法研究[J]. 现代防御技术, 2012, 40(5):104-110. QI W C, YANG R J, LI X B, et al. Scheduling algorithm for multifunctional radar based on the smallest time window[J]. Modern Defence Technology, 2012, 40(5):104-110(in Chinese).
[13] 薛广然, 郗蕴天, 朱永杰, 等. 直升机载相控阵雷达波束波形联合自适应调度算法研究[J]. 计算机测量与控制, 2016, 24(4):163-166 XUE G R, XI Y T, ZHU Y J, et al. Research on joint adaptive scheduling algorithm of beam and waveform for helicopter-borne phase array radars[J]. Computer Measurement and Control, 2016, 24(4):163-166(in Chinese).
[14] 孟迪, 张群, 罗迎, 等. 微动目标跟踪成像一体化的雷达资源优化调度算法[J]. 航空学报, 2018, 39(2):321492. MENG D, ZHANG Q, LUO Y, et al. An optimal radar resource scheduling algorithm based on integrated tracking and imaging of micro-motion targets[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(2):321492(in Chinese).
[15] 孙玉雪, 罗迎, 张群, 等. 空间自旋目标宽带雷达干涉三维成像方法[J]. 航空学报, 2017, 38(4):320399. SUN Y X, LUO Y, ZHANG Q, et al. Interferometric 3D imaging for space rotating targets in wideband radar[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(4):320399(in Chinese).
[16] 保铮, 邢孟道, 王彤. 雷达成像技术[M]. 北京:电子工业出版社, 2005:78-79. BAO Z, XING M D, WANG T. Radar imaging technology[M]. Beijing:Publishing House of Electronics Industry, 2005:78-79(in Chinese).
[17] 陈怡君, 张群, 罗迎, 等. 基于稀疏孔径ISAR成像的雷达资源自适应调度算法[J]. 弹箭与制导学报, 2013, 33(4):171-176. CHEN Y J, ZHANG Q, LUO Y, et al. Adaptive scheduling algorithm for radar based on sparse aperture ISAR imaging[J]. Journal of Projectiles Rockets Missiles & Guidance, 2013, 33(4):171-176(in Chinese).
[18] LUO Y, ZHANG Q, HONG W, et al. Waveform design and high-resolution imaging of cognitive radar based on compressive sensing[J]. Science China (Information Sciences), 2012, 55(11):2590-2603.
[19] 孙凤莲, 张群, 罗迎, 等. 基于压缩感知的稀疏孔径认知ISAR成像方法[J]. 通信学报, 2012, 33(Z2):1-8. SUN F L, ZHANG Q, LUO Y, et al. Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR[J]. Journal on Communications, 2012, 33(Z2):1-8(in Chinese).
[20] CHEN J, WANG L, ZHANG W, et al. Multifunction phased radar resource management via maximal pulse interleaving technique[J]. Arabian Journal for Science and Engineering, 2013, 38(11):3081-3091.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于二维资源管理的多功能雷达任务调度算法

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

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 8

编辑推荐

Metrics

本文评价

[1]	刘一鸣, 盛文, 胡冰, 张磊. 相控阵雷达长时跟踪波束调度与波形优化策略[J]. 航空学报, 2020, 41(3): 323519-323519.
[2]	刘帅琦, 王布宏, 李夏, 刘新波, 曹帅. 二维嵌套混合MIMO相控阵雷达接收阵列设计[J]. 航空学报, 2018, 39(4): 321546-321546.
[3]	孟迪, 张群, 罗迎, 陈怡君. 微动目标跟踪成像一体化的雷达资源优化调度算法[J]. 航空学报, 2018, 39(2): 321492-321492.
[4]	孟迪, 张群, 罗迎, 陈怡君. 基于脉冲交错的数字阵列雷达任务优化调度算法[J]. 航空学报, 2017, 38(8): 320930-320930.
[5]	樊会涛, 闫俊. 相控阵制导技术发展现状及展望[J]. 航空学报, 2015, 36(9): 2807-2814.
[6]	温晓杨, 匡纲要, 胡杰民, 占荣辉, 张军. 基于实波束扫描的相控阵雷达前视成像[J]. 航空学报, 2014, 35(7): 1977-1991.
[7]	樊会涛, 杨军, 朱学平. 相控阵雷达导引头波束稳定技术研究[J]. 航空学报, 2013, 34(2): 387-392.
[8]	苏杰;李春升;周荫清. 机载相控阵雷达中抑制杂波的线性预测法[J]. 航空学报, 1995, 16(5): 581-586.