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SHI Chenguang, TANG Zhicheng, ZHOU Jianjiang, et al. Joint collaborative radar selection and transmit resource allocation in multiple distributed radar networks with imperfect detection performance[J]. Journal of Radars, in press. doi: 10.12000/JR23081
Citation: SHI Chenguang, TANG Zhicheng, ZHOU Jianjiang, et al. Joint collaborative radar selection and transmit resource allocation in multiple distributed radar networks with imperfect detection performance[J]. Journal of Radars, in press. doi: 10.12000/JR23081
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Joint Collaborative Radar Selection and Transmit Resource Allocation in Multiple Distributed Radar Networks with Imperfect Detection Performance

doi: 10.12000/JR23081
  • 1.

    Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • 2.

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

  • 3.

    Beijing institute of Control and Electronics Technology, Beijing 100045, China

Funds:  The National Natural Science Foundation of China (62271247), The Defense Industrial Technology Development Program (JCKY2021210B004), The Prospective Layout of Scientific Research Special Funds of Nanjing University of Aeronautics and Astronautics
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  • Corresponding author: SHI Chenguang, scg_space@163.com
  • Received Date: 2023-05-09
  • Rev Recd Date: 2023-07-14
    • Available Online: 2023-07-18
    Abstract
  • In this study, a collaborative radar selection and transmit resource allocation strategy is proposed for multitarget tracking applications in multiple distributed phased array radar networks with imperfect detection performance. The closed-form expression for the Bayesian Cramér-Rao Lower Bound (BCRLB) with imperfect detection performance is obtained and adopted as the criterion function to characterize the precision of target state estimates. The key concept of the developed strategy is to collaboratively adjust the radar node selection, transmitted power, and effective bandwidth allocation of multiple distributed phased array radar networks to minimize the total transmit power consumption in an imperfect detection environment. This will be achieved under the constraints of the predetermined tracking accuracy requirements of multiple targets and several illumination resource budgets to improve its radio frequency stealth performance. The results revealed that the formulated problem is a mixed-integer programming, nonlinear, and nonconvex optimization model. By incorporating the barrier function approach and cyclic minimization technique, an efficient four-step-based solution methodology is proposed to solve the resulting optimization problem. The numerical simulation examples demonstrate that the proposed strategy can effectively reduce the total power consumption of multiple distributed phased array radar networks by at least 32.3% and improve its radio frequency stealth performance while meeting the given multitarget tracking accuracy requirements compared with other existing algorithms.

     

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    • References(49)
  • [1]
    HAIMOVICH A M, BLUM R S, and CIMIN L J. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008, 25(1): 116–129. doi: 10.1109/MSP.2008.4408448
    [2]
    GODRICH H, PETROPULU A P, and POOR H V. Power allocation strategies for target localization in distributed multiple-radar architectures[J]. IEEE Transactions on Signal Processing, 2011, 59(7): 3226–3240. doi: 10.1109/TSP.2011.2144976
    [3]
    CHAVALI P and 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. doi: 10.1109/TSP.2011.2174989
    [4]
    XIE Mingchi, YI Wei, KONG Lingjiang, et al. Receive-beam resource allocation for multiple target tracking with distributed MIMO radars[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(5): 2421–2436. doi: 10.1109/TAES.2018.2818579
    [5]
    ZHANG Haowei, ZONG Binfeng, and XIE Junwei. Power and bandwidth allocation for multi-target tracking in collocated MIMO radar[J]. IEEE Transactions on Vehicular Technology, 2020, 69(9): 9795–9806. doi: 10.1109/TVT.2020.3002899
    [6]
    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(13): 471–499. doi: 10.12000/JR23036

    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(13): 471–499. doi: 10.12000/JR23036
    [7]
    ZHANG Weiwei, SHI Chenguang, SALOUS S, et al. Convex optimization-based power allocation strategies for target localization in distributed hybrid non-coherent active-passive radar networks[J]. IEEE Transactions on Signal Processing, 2022, 70: 2476–2488. doi: 10.1109/TSP.2022.3173756
    [8]
    XIE Mingchi, YI Wei, KIRUBARAJAN T, et al. Joint node selection and power allocation strategy for multitarget tracking in decentralized radar networks[J]. IEEE Transactions on Signal Processing, 2018, 66(3): 729–743. doi: 10.1109/TSP.2017.2777394
    [9]
    ZHANG Haowei, LIU Weijian, XIE Junwei, et al. Joint subarray selection and power allocation for cognitive target tracking in large-scale MIMO radar networks[J]. IEEE Systems Journal, 2020, 14(2): 2569–2580. doi: 10.1109/JSYST.2019.2960401
    [10]
    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
    [11]
    SUN Hao, LI Ming, ZUO Lei, et al. Joint radar scheduling and beampattern design for multitarget tracking in netted colocated MIMO radar systems[J]. IEEE Signal Processing Letters, 2021, 28: 1863–1867. doi: 10.1109/LSP.2021.3108675
    [12]
    YAN Junkun, DAI Jinhui, PU Wenqiang, et al. Target capacity based resource optimization for multiple target tracking in radar network[J]. IEEE Transactions on Signal Processing, 2021, 69: 2410–2421. doi: 10.1109/TSP.2021.3071173
    [13]
    ZHANG Haowei, LIU Weijian, ZHANG Zhaojian, et al. Joint target assignment and power allocation in multiple distributed MIMO radar networks[J]. IEEE Systems Journal, 2021, 15(1): 694–704. doi: 10.1109/JSYST.2020.2986020
    [14]
    SUN Hao, LI Ming, ZUO Lei, et al. Resource allocation for multitarget tracking and data reduction in radar network with sensor location uncertainty[J]. IEEE Transactions on Signal Processing, 2021, 69: 4843–4858. doi: 10.1109/TSP.2021.3101018
    [15]
    AJORLOO A, AMINI A, and BASTANI M H. A compressive sensing-based colocated MIMO radar power allocation and waveform design[J]. IEEE Sensors Journal, 2018, 18(22): 9420–9429. doi: 10.1109/JSEN.2018.2871214
    [16]
    DU Yi, LIAO Kefei, OUYANG Shan, et al. Time and aperture resource allocation strategy for multitarget ISAR imaging in a radar network[J]. IEEE Sensors Journal, 2020, 20(6): 3196–3206. doi: 10.1109/JSEN.2019.2954711
    [17]
    WANG Dan, ZHANG Qun, LUO Ying, et al. Joint optimization of time and aperture resource allocation strategy for multi-target ISAR imaging in radar sensor network[J]. IEEE Sensors Journal, 2021, 21(17): 19570–19581. doi: 10.1109/JSEN.2021.3090053
    [18]
    SUN Hao, LI Ming, ZUO Lei, et al. JPBA of ARN for target tracking in clutter[J]. IET Radar, Sonar & Navigation, 2019, 13(11): 2024–2033. doi: 10.1049/iet-rsn.2019.0038
    [19]
    DAI Jinhui, YAN Junkun, LV Jindong, et al. Composed resource optimization for multitarget tracking in active and passive radar network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5119215. doi: 10.1109/TGRS.2022.3215228
    [20]
    ZHANG Haowei, LIU Weijian, SHI Junpeng, et al. Joint detection threshold optimization and illumination time allocation strategy for cognitive tracking in a networked radar system[J]. IEEE Transactions on Signal Processing, 2022, 70: 5833–5847. doi: 10.1109/TSP.2022.3188205
    [21]
    LI Zhengjie, XIE Junwei, LIU Weijian, et al. Joint strategy of power and bandwidth allocation for multiple maneuvering target tracking in cognitive MIMO radar with collocated antennas[J]. IEEE Transactions on Vehicular Technology, 2023, 72(1): 190–204. doi: 10.1109/TVT.2022.3204939
    [22]
    YAN Junkun, PU Wenqiang, ZHOU Shenghua, et al. Collaborative detection and power allocation framework for target tracking in multiple radar system[J]. Information Fusion, 2020, 55: 173–183. doi: 10.1016/j.inffus.2019.08.010
    [23]
    LI Xi, CHENG Ting, SU Yang, et al. Joint time-space resource allocation and waveform selection for the collocated MIMO radar in multiple targets tracking[J]. Signal Processing, 2020, 176: 107650. doi: 10.1016/j.sigpro.2020.107650
    [24]
    ZHANG Haowei, LIU Weijian, ZONG Binfeng, et al. An efficient power allocation strategy for maneuvering target tracking in cognitive MIMO radar[J]. IEEE Transactions on Signal Processing, 2021, 69: 1591–1602. doi: 10.1109/TSP.2020.3047227
    [25]
    ZUO Lei, HU Juan, SUN Hao, et al. Resource allocation for target tracking in multiple radar architectures over lossy networks[J]. Signal Processing, 2023, 208: 108973. doi: 10.1016/J.SIGPRO.2023.108973
    [26]
    SUN Hao, LI Ming, ZUO Lei, et al. Joint threshold optimization and power allocation of cognitive radar network for target tracking in clutter[J]. Signal Processing, 2020, 172: 107566. doi: 10.1016/j.sigpro.2020.107566
    [27]
    LAWRENCE D E. Low probability of intercept antenna array beamforming[J]. IEEE Transactions on Antennas and Propagation, 2010, 58(9): 2858–2865. doi: 10.1109/TAP.2010.2052573
    [28]
    GOVONI M A, LI Hongbin, and KOSINSKI J A. Low probability of interception of an advanced noise radar waveform with linear-FM[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(2): 1351–1356. doi: 10.1109/TAES.2013.6494419
    [29]
    ZHANG Zhenkai and TIAN Yubo. A novel resource scheduling method of netted radars based on Markov decision process during target tracking in clutter[J]. EURASIP Journal on Advances in Signal Processing, 2016, 2016(1): 16. doi: 10.1186/s13634-016-0309-3
    [30]
    SHI Chenguang, WANG Fei, SELLATHURAI M, et al. Power minimization-based robust OFDM radar waveform design for radar and communication systems in coexistence[J]. IEEE Transactions on Signal Processing, 2018, 66(5): 1316–1330. doi: 10.1109/TSP.2017.2770086
    [31]
    ZHOU Chengwei, GU Yujie, HE Shibo, et al. A robust and efficient algorithm for coprime array adaptive beamforming[J]. IEEE Transactions on Vehicular Technology, 2018, 67(2): 1099–1112. doi: 10.1109/TVT.2017.2704610
    [32]
    SHI Chenguang, DING Lintao, WANG Fei, et al. Low probability of intercept-based collaborative power and bandwidth allocation strategy for multi-target tracking in distributed radar network system[J]. IEEE Sensors Journal, 2020, 20(12): 6367–6377. doi: 10.1109/JSEN.2020.2977328
    [33]
    YUAN Ye, YI Wei, HOSEINNEZHAD R, et al. Robust power allocation for resource-aware multi-target tracking with colocated MIMO radars[J]. IEEE Transactions on Signal Processing, 2021, 69: 443–458. doi: 10.1109/TSP.2020.3047519
    [34]
    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
    [35]
    SU Yang, CHENG Ting, HE Zishu, et al. Joint waveform control and resource optimization for maneuvering targets tracking in netted colocated MIMO radar systems[J]. IEEE Systems Journal, 2022, 16(3): 3960–3971. doi: 10.1109/JSYST.2021.3098622
    [36]
    YAN Junkun, DAI Jinhui, PU Wenqiang, et al. Quality of service constrained-resource allocation scheme for multiple target tracking in radar sensor network[J]. IEEE Systems Journal, 2021, 15(1): 771–779. doi: 10.1109/JSYST.2020.2990409
    [37]
    SHI Yuchun, JIU Bo, YAN Junkun, et al. Data-driven simultaneous multibeam power allocation: When multiple targets tracking meets deep reinforcement learning[J]. IEEE Systems Journal, 2021, 15(1): 1264–1274. doi: 10.1109/JSYST.2020.2984774
    [38]
    DELIGIANNIS A, PANOUI A, LAMBOTHARAN S, et al. Game-theoretic power allocation and the Nash equilibrium analysis for a multistatic MIMO radar network[J]. IEEE Transactions on Signal Processing, 2017, 65(24): 6397–6408. doi: 10.1109/TSP.2017.2755591
    [39]
    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.
    [40]
    YAN Junkun, PU Wenqiang, LIU Hongwei, et al. Robust chance constrained power allocation scheme for multiple target localization in colocated MIMO radar system[J]. IEEE Transactions on Signal Processing, 2018, 66(15): 3946–3957. doi: 10.1109/TSP.2018.2841865
    [41]
    SHI Chenguang, DING Lintao, WANG Fei, et al. Joint target assignment and resource optimization framework for multitarget tracking in phased array radar network[J]. IEEE Systems Journal, 2021, 15(3): 4379–4390. doi: 10.1109/JSYST.2020.3025867
    [42]
    ZHANG Weiwei, SHI Chenguang, and ZHOU Jianjiang. Power minimization-based joint resource allocation algorithm for target localization in noncoherent distributed MIMO radar system[J]. IEEE Systems Journal, 2022, 16(2): 2183–2194. doi: 10.1109/JSYST.2021.3126152
    [43]
    FARINA A, RISTIC B, and TIMMONERI L. Cramér-Rao bound for nonlinear filtering with P d<1 and its application to target tracking[J]. IEEE Transactions on Signal Processing, 2002, 50(8): 1916–1924. doi: 10.1109/TSP.2002.800411
    [44]
    ANASTASIO V, FARINA A, COLONE F, et al. Cramér-Rao lower bound with Pd<1 for target localisation accuracy in multistatic passive radar[J]. IET Radar, Sonar & Navigation, 2014, 8(7): 767–775. doi: 10.1049/iet-rsn.2013.0213
    [45]
    SUN Jun, LU Xiujuan, YUAN Ye, et al. Resource allocation for multi-target tracking in multi-static radar systems with imperfect detection performance[C]. 2020 IEEE Radar Conference, Florence Italy, 2020.
    [46]
    SHI Chenguang, SHI Zhao, TANG Zhicheng, et al. Joint Radar Selection and Resource Allocation for Multi-target Tracking in Multiple Radar Networks with Non-ideal Detection Performance[M]. FU Wenxing, GU Mancang, and NIU Yifeng. Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). Singapore: Springer, 2023: 82–89.
    [47]
    BOYD S and VANDENBERGHE L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004.
    [48]
    YAN Junkun, LIU Hongwei, JIU Bo, et al. Simultaneous multibeam resource allocation scheme for multiple target tracking[J]. IEEE Transactions on Signal Processing, 2015, 63(12): 3110–3122. doi: 10.1109/TSP.2015.2417504
    [49]
    STOICA P and SELEN Y. Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: A refresher[J]. IEEE Signal Processing Magazine, 2004, 21(1): 112–114. doi: 10.1109/MSP.2004.1267055
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