Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2026  > Proofreading [3rd]
WU Ke, SUN Jun, and BAI Xueru. A task priority-driven resource scheduling method of asynchronous phased array radar network for cognitive tracking in clutter[J]. Journal of Radars, in press. doi: 10.12000/JR26028
Citation: WU Ke, SUN Jun, and BAI Xueru. A task priority-driven resource scheduling method of asynchronous phased array radar network for cognitive tracking in clutter[J]. Journal of Radars, in press. doi: 10.12000/JR26028
shu

A Task Priority-driven Resource Scheduling Method of Asynchronous Phased Array Radar Network for Cognitive Tracking in Clutter

DOI: 10.12000/JR26028 CSTR: 32380.14.JR26028
  • 1.

    National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

  • 2.

    School of Aerospace Science and Technology, Xidian University, Xi’an 710071, China

Funds:  The Fundamental Research Funds for Central Universities (62425113), The China Postdoctoral Science Foundation (GZB20250809)
More Information
  • Corresponding author: BAI Xueru xrbai@xidian.edu.cn
  • Received Date: 2026-01-22
  • Rev Recd Date: 2026-05-22
    • Available Online: 2026-05-20
    Abstract
  • The multi-target tracking performance of phased array radar networks is fundamentally constrained by limited resources and asynchronous sampling mechanisms, especially under the Track And Search (TAS) paradigm, where competition between search and tracking tasks, along with measurement uncertainty, significantly affects overall system performance. To address these challenges, this paper proposes a task-priority-driven cognitive tracking resource scheduling method for Asynchronous Phased Array Radar Networks (APARN), termed TPRS, in cluttered environments. The proposed method incorporates soft association probabilities, as well as environmental parameters such as false alarm density and detection probability, into the resource scheduling model to characterize the impact of measurement uncertainty on decision-making. Under the TAS framework, considering scenarios where target tracks have been initiated through multi-frame detections, the scheduling strategy emphasizes tracking tasks and performs priority-driven sequential allocation under resource constraints. On this basis, a closed-loop multi-target tracking framework for APARN is developed by integrating centralized resource scheduling with distributed state estimation and fusion. Joint Probabilistic Data Association (JPDA) is employed for multi-target state estimation, while Covariance Intersection (CI) is adopted for asynchronous measurement fusion. The Posterior Cramér–Rao Lower Bound (PCRLB), incorporating association uncertainty, is used as the performance metric for scheduling. Given that the resulting optimization problem involves coupled multi-dimensional decision variables and is NP-hard, a two-stage solution method combining multi-dimensional decoupling and sequential dynamic programming is proposed to reduce computational complexity and enable adaptive scheduling of radar–target assignment and asynchronous dwell time under resource constraints. Simulation results demonstrate that, under limited resources and clutter interference, the proposed method effectively improves overall multi-target tracking accuracy and resource utilization efficiency in APARN, providing a feasible technical pathway for practical deployment of asynchronous multi-radar cooperative tracking systems.

     

    • FullText(HTML)
  • loading
    • References(42)
  • [1]
    FENN A J, TEMME D H, DELANEY W P, et al. The development of phased-array radar technology[J]. Lincoln Laboratory Journal, 2000, 12(2): 321–340.
    [2]
    HUANG T, SHLEZINGER N, XU X, et al. Multicarrier agile phased array radar[J]. IEEE Transactions on Signal Processing, 2020, 68: 5706–5721. doi: 10.1109/TSP.2020.3026186.
    [3]
    MAILLOUX R J. Phased Array Antenna Handbook[M]. 3rd ed. Boston: Artech House, 2018, 1–64.
    [4]
    SHI Chenguang, WANG Yijie, SALOUS S, et al. Joint transmit resource management and waveform selection strategy for target tracking in distributed phased array radar network[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(4): 2762–2778. doi: 10.1109/TAES.2021.3138869.
    [5]
    LI Zhengjie, XIE Junwei, LIU Weijian, et al. Resource optimization strategy in phased array radar network for multiple target tracking when against active oppressive interference[J]. IEEE Systems Journal, 2023, 17(3): 3539–3550. doi: 10.1109/JSYST.2023.3283974.
    [6]
    AUBRY A, DE MAIO A, MARANO S, et al. Single-pulse simultaneous target detection and angle estimation in a multichannel phased array radar[J]. IEEE Transactions on Signal Processing, 2020, 68: 6649–6664. doi: 10.1109/TSP.2020.3039883.
    [7]
    LÜ Qingguo, LIAO Xiaofeng, DENG Shaojiang, et al. Asynchronous algorithms for decentralized resource allocation over directed networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(1): 16–32. doi: 10.1109/TPDS.2022.3212424.
    [8]
    LI Zeren, CAI Yunze, and LEUNG H. AoI-based sensor selection for target tracking in asynchronous sensor networks[J]. IEEE Sensors Journal, 2023, 23(18): 21385–21396. doi: 10.1109/JSEN.2023.3289883.
    [9]
    FORTMANN T, BAR-SHALOM Y, and SCHEFFE M. Sonar tracking of multiple targets using joint probabilistic data association[J]. IEEE Journal of Oceanic Engineering, 1983, 8(3): 173–184. doi: 10.1109/JOE.1983.1145560.
    [10]
    BAR-SHALOM Y and FORTMANN T E. Tracking and Data Association[M]. Boston: Academic Press, 1988: 220−260.
    [11]
    WU Linlong, MISHRA K V, SHANKAR M R B, et al. Resource allocation in heterogeneously-distributed joint radar-communications under asynchronous Bayesian tracking framework[J]. IEEE Journal on Selected Areas in Communications, 2022, 40(7): 2026–2042. doi: 10.1109/JSAC.2022.3157371.
    [12]
    WANG Mingyi, WANG Ruisong, MA Ruofei, et al. Resource allocation for multisatellite asynchronous transmission in integrated communication and navigation networks[J]. IEEE Internet of Things Journal, 2025, 12(10): 14172–14187. doi: 10.1109/JIOT.2025.3526154.
    [13]
    WANG Kuiwu, ZHANG Qin, ZHENG Guimei, et al. Multi-target tracking AA fusion method for asynchronous multi-sensor networks[J]. Sensors, 2023, 23(21): 8751. doi: 10.3390/s23218751.
    [14]
    SONG Liyuan, ZHANG Tingting, and ZHANG Qinyu. Power allocation for target positioning in asynchronous wireless radar sensor networks[C]. The 10th International Conference on Wireless Communications and Signal Processing, Hangzhou, China, 2018: 1–6. doi: 10.1109/WCSP.2018.8555703.
    [15]
    YAN Junkun, LIU Hongwei, PU Wenqiang, et al. Joint threshold adjustment and power allocation for cognitive target tracking in asynchronous radar network[J]. IEEE Transactions on Signal Processing, 2017, 65(12): 3094–3106. doi: 10.1109/TSP.2017.2679693.
    [16]
    YAN Junkun, PU Wenqiang, ZHOU Shenghua, et al. Optimal resource allocation for asynchronous multiple targets tracking in heterogeneous radar networks[J]. IEEE Transactions on Signal Processing, 2020, 68: 4055–4068. doi: 10.1109/TSP.2020.3007313.
    [17]
    ZHANG Haowei, LIU Weijian, and YANG Xiao. Resource saving based dwell time allocation and detection threshold optimization in an asynchronous distributed phased array radar network[J]. Chinese Journal of Aeronautics, 2023, 36(11): 311–327. doi: 10.1016/j.cja.2023.06.017.
    [18]
    DAI Jinhui, PU Wenqiang, YAN Junkun, et al. Multi-UAV collaborative trajectory optimization for asynchronous 3-D passive multitarget tracking[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5101116. doi: 10.1109/TGRS.2023.3239952.
    [19]
    SHI Chenguang, TANG Zhicheng, DING Lintao, et al. Multidomain resource allocation for asynchronous target tracking in heterogeneous multiple radar networks with nonideal detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(2): 2016–2033. doi: 10.1109/TAES.2023.3347214.
    [20]
    宋晓程, 李陟, 任海伟, 等. 目标动态威胁度驱动的分布式组网相控阵雷达资源优化分配算法[J]. 雷达学报, 2023, 12(3): 629–641.

    SONG Xiaocheng, LI Zhi, REN Haiwei, et al. Threat-driven resource allocation algorithm for distributed netted phased array radars[J]. Journal of Radars, 2023, 12(3): 629–641. doi: 10.12000/JR23162.
    [21]
    王增福, 杨广宇, 金术玲. 考虑综合性能最优的非短视快速天基雷达多目标跟踪资源调度算法[J]. 雷达学报(中英文), 2024, 13(1): 253–269. doi: 10.12000/JR23162.

    WANG Zengfu, YANG Guangyu, and JIN Shuling. A non-myopic and fast resource scheduling algorithm for multi-target tracking of space-based radar considering optimal integrated performance[J]. Journal of Radars, 2024, 13(1): 253–269. doi: 10.12000/JR23162.
    [22]
    李浩情, 余点, 潘常春, 等. 基于模型知识融合的图神经网络多雷达协同任务调度算法[J]. 雷达学报(中英文), 2025, 14(2): 470–485.

    LI Haoqing, YU Dian, PAN Changchun, et al. Multiradar collaborative task scheduling algorithm based on graph neural networks with model knowledge embedding[J]. Journal of Radars, 2025, 14(2): 470–485. doi: 10.12000/JR24222.
    [23]
    易伟, 袁野, 刘光宏, 等. 多雷达协同探测技术研究进展: 认知跟踪与资源调度算法[J]. 雷达学报, 2023, 12(3): 471–499.

    YI Wei, YUAN Ye, LIU Guanghong, et al. Recent advances in multi-radar collaborative surveillance: Cognitive tracking and resource scheduling algorithms[J]. Journal of Radars, 2023, 12(3): 471–499. doi: 10.12000/JR23036.
    [24]
    时晨光, 唐志诚, 丁琳涛, 等. 非理想检测下面向异步多目标跟踪的异构多雷达网络功率时间联合优化算法[J]. 雷达学报, 2023, 12(3): 563–575. doi: 10.12000/JR23044.

    SHI Chenguang, TANG Zhicheng, DING Lintao, et al. Joint optimization of transmit power and dwell time for asynchronous multi-target tracking in heterogeneous multiple radar networks with imperfect detection[J]. Journal of Radars, 2023, 12(3): 563–575. doi: 10.12000/JR23044.
    [25]
    齐铖, 谢军伟, 张浩为, 等. 基于目标检测的混合分布式PA-MIMO雷达系统阵元优化部署[J]. 雷达学报, 2023, 12(3): 576–589. doi: 10.12000/JR22159.

    QI Cheng, XIE Junwei, ZHANG Haowei, et al. Element configuration optimization of hybrid distributed PA-MIMO radar system based on target detection[J]. Journal of Radars, 2023, 12(3): 576–589. doi: 10.12000/JR22159.
    [26]
    达凯, 杨烨, 朱永锋, 等. 视场非完全重叠的分布式雷达多目标跟踪方法[J]. 雷达学报, 2022, 11(3): 459–468. doi: 10.12000/JR21183.

    DA Kai, YANG Ye, ZHU Yongfeng, et al. Multitarget tracking using distributed radar with partially overlapping fields of views[J]. Journal of Radars, 2022, 11(3): 459–468. doi: 10.12000/JR21183.
    [27]
    程婷, 恒思宇, 李中柱. 基于脉冲交错的分布式雷达组网系统波束驻留调度[J]. 雷达学报, 2023, 12(3): 616–628. doi: 10.12000/JR22211.

    CHENG Ting, HENG Siyu, and LI Zhongzhu. Real-time dwell scheduling algorithm for distributed phased array radar network based on pulse interleaving[J]. Journal of Radars, 2023, 12(3): 616–628. doi: 10.12000/JR22211.
    [28]
    朱波, 等. 面向频谱共存的组网雷达功率-驻留时间联合优化算法[J]. 雷达学报, 2022, 11(4).

    ZHU Bo, et al. Joint optimization algorithm of power and dwell time for networked radar oriented to spectrum coexistence[J]. Journal of Radars, 2022, 11(4).
    [29]
    李磊, 等. 基于多雷达协同的任务规划调度方法[J]. 雷达学报, 2021, 10(6).

    LI Lei, et al. Task planning and scheduling method based on multi-radar cooperation[J]. Journal of Radars, 2021, 10(6).
    [30]
    李文娜, 张顺生, 王文钦. 基于Transformer网络的机载雷达多目标跟踪方法[J]. 雷达学报, 2022, 11(3): 469–478. doi: 10.12000/JR22009.

    LI Wenna, ZHANG Shunsheng, and WANG Wenqin. Multitarget-tracking method for airborne radar based on a Transformer network[J]. Journal of Radars, 2022, 11(3): 469–478. doi: 10.12000/JR22009.
    [31]
    时晨光, 董璟, 周建江. 频谱共存下面向多目标跟踪的组网雷达功率时间联合优化算法[J]. 雷达学报, 2023, 12(3): 590–601. doi: 10.12000/JR22146.

    SHI Chenguang, DONG Jing, and ZHOU Jianjiang. Joint transmit power and dwell time allocation for multitarget tracking in radar networks under spectral coexistence[J]. Journal of Radars, 2023, 12(3): 590–601. doi: 10.12000/JR22146.
    [32]
    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. doi: 10.12000/JR17045.

    WANG Xiangli, YI Wei, and KONG Lingjiang. 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. doi: 10.12000/JR17045.
    [33]
    焦昊, 等. 多机动目标资源分配与精细化跟踪算法[J]. 雷达学报(中英文), 2024, 13(4): 565–577.

    JIAO Hao, et al. Resource allocation and refined tracking algorithm for multiple maneuvering targets[J]. Journal of Radars, 2024, 13(4): 565–577.
    [34]
    YI Wei, MORELANDE M R, KONG Lingjiang, et al. An efficient multi-frame track-before-detect algorithm for multi-target tracking[J]. IEEE Journal of Selected Topics in Signal Processing, 2013, 7(3): 421–434. doi: 10.1109/JSTSP.2013.2256415.
    [35]
    HE Qian, BLUM R S, and HAIMOVICH A M. Noncoherent MIMO radar for location and velocity estimation: More antennas means better performance[J]. IEEE Transactions on Signal Processing, 2010, 58(7): 3661–3680. doi: 10.1109/TSP.2010.2044613.
    [36]
    THARMARASA R, KIRUBARAJAN T, HERNANDEZ M L, et al. PCRLB-based multisensor array management for multitarget tracking[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(2): 539–555. doi: 10.1109/TAES.2007.4285352.
    [37]
    YI Wei, YUAN Ye, HOSEINNEZHAD R, et al. Resource scheduling for distributed multi-target tracking in netted Colocated MIMO radar systems[J]. IEEE Transactions on Signal Processing, 2020, 68: 1602–1617. doi: 10.1109/TSP.2020.2976587.
    [38]
    JULIER S J and UHLMANN J K. A non-divergent estimation algorithm in the presence of unknown correlations[C]. The 1997 American Control Conference, Albuquerque, USA, 1997: 2369–2373. doi: 10.1109/ACC.1997.609105.
    [39]
    BERTSEKAS D P. Dynamic Programming and Optimal Control, Volume I[M]. 4th ed. Belmont: Athena Scientific, 2012, 1−72.
    [40]
    RONG Aiying, HAKONEN H, and LAHDELMA R. A dynamic regrouping based sequential dynamic programming algorithm for unit commitment of combined heat and power systems[J]. Energy Conversion and Management, 2009, 50(4): 1108–1115. doi: 10.1016/j.enconman.2008.12.003.
    [41]
    VAN TREES H L. Detection, Estimation, and Modulation Theory, Part III[M]. New York: Wiley, 1971, 22–35.
    [42]
    RICHARDS M A. Fundamentals of Radar Signal Processing[M]. New York: McGraw-Hill, 2005, 19–25.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views(37) PDF downloads(6) Cited by()
    Proportional views
    Related

    京ICP备20021838号-14   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return