Electronics and Electrical Engineering and Control

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

  • TIAN Taifang ,
  • ZHANG Qun ,
  • CHEN Yijun ,
  • MENG Di ,
  • HE Qifang
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  • 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 date: 2018-05-10

  Revised date: 2018-07-19

  Online published: 2018-09-04

Supported by

National Natural Science Foundation of China (61631019)

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.

Cite this article

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 . DOI: 10.7527/S1000-6893.2018.22313

References

[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.
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