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基于信道互易的PA-MIMO雷达目标检测性能研究

齐铖 谢军伟 费太勇 张浩为 杨潇

韦 艺, 康 锐, 程海龙等 . 军用飞机再次出动准备时间计算方法[J]. 北京航空航天大学学报, 2008, 34(12): 1415-1418.
引用本文: 齐铖,谢军伟,费太勇,等. 基于信道互易的PA-MIMO雷达目标检测性能研究[J]. 北京航空航天大学学报,2025,51(1):214-221 doi: 10.13700/j.bh.1001-5965.2022.1014
Wei Yi, Kang Rui, Cheng Hailonget al. Calculation method for military aircraft’s turnaround time[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(12): 1415-1418. (in Chinese)
Citation: QI C,XIE J W,FEI T Y,et al. Research on target detection performance of PA-MIMO radar based on channel reciprocity[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(1):214-221 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.1014

基于信道互易的PA-MIMO雷达目标检测性能研究

doi: 10.13700/j.bh.1001-5965.2022.1014
基金项目: 国家自然科学基金(62001506)
详细信息
    通讯作者:

    E-mail:zhw_xhzf@163.com

  • 中图分类号: V221+.3;TB553

Research on target detection performance of PA-MIMO radar based on channel reciprocity

Funds: National Natural Science Foundation of China (62001506)
More Information
  • 摘要:

    针对如何高效运用雷达资源管理技术提高目标检测的准确性和可靠性,构建了一种混合分布式相控阵-多输入多输出(PA-MIMO)雷达系统模型,建立了基于奈曼一皮尔逊(NP)准则的目标检测模型,以及推导了同时考虑子阵收发共用导致的信道互易性和多脉冲相参积累条件的似然比(LRT)检测器,得到了给定虚警概率下的目标检测概率。通过与相控阵雷达、单输入多输出(SIMO)雷达、多输入单输出(MISO)雷达及最优阵元配置PA-MIMO雷达的性能对比,验证了混合分布式PA-MIMO雷达系统利用子阵内信号的相关性和子阵之间信号的独立性可以同时获取相干处理增益和波形分集增益,其最大检测概率达到0.987 4,高于其他4种体制雷达,有效提高了雷达系统的目标检测性能。通过仿真分析验证了信道互易性与脉冲积累对于雷达检测性能的提升作用。

     

  • 图 1  混合分布式PA-MIMO雷达系统结构

    Figure 1.  Structure of hybrid distributed PA-MIMO radar system

    图 2  混合分布式PA-MIMO雷达系统检测模型

    Figure 2.  Hybrid distributed PA-MIMO radar system detection model

    图 3  信号处理流程图

    Figure 3.  Signal processing flowchart

    图 4  典型体制雷达检测概率曲线

    Figure 4.  Detection probability curves of typical radar systems

    图 5  K=1时,检测概率曲线

    Figure 5.  Detection probability curves (K=1)

    图 6  K=10时,检测概率曲线

    Figure 6.  Detection probability curves (K=10)

    表  1  典型体制雷达最大检测概率

    Table  1.   Maximum detection probability of typical radar systems

    雷达 最优配置方案 检测概率
    相控阵雷达 (1,1) 0.80
    MISO 雷达 (1,13) 0.9812
    SIMO 雷达 (1,1) 0.80
    PA-MIMO [11,18] (1,13) 0.9812
    本文雷达 3 0.9874
    下载: 导出CSV

    表  2  仿真参数设置

    Table  2.   Simulation parameter settings

    参数 仿真设定值
    子阵数量Q 2,4,6,9
    脉冲积累数K 1,10
    噪声方差σ2n/dB 1
    虚警概率Pfa 10−8
    下载: 导出CSV
  • [1] YAN J K, JIAO H, PU W Q, et al. Radar sensor network resource allocation for fused target tracking: A brief review[J]. Information Fusion, 2022, 86: 104-115.
    [2] SHI C G, WANG Y J, 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 Electronic Systems, 2022, 58(4): 2762-2778. doi: 10.1109/TAES.2021.3138869
    [3] SHI C G, DING L T, WANG F, et al. Joint target assignment and resource optimization framework for multitarget tracking in phased array radar network[J]. IEEE Systems Journal, 2020, 15(3): 4379-4390.
    [4] BROOKNER E. Never ending Saga of phased array breakthroughs[C]//Proceedings of the IEEE International Symposium on Phased Array Systems and Technology. Piscataway: IEEE Press, 2010: 61-73.
    [5] FISHLER E, HAIMOVICH A, BLUM R, et al. MIMO radar: An idea whose time has come[C]//Proceedings of the IEEE Radar Conference. Piscataway: IEEE Press, 2004, 71-78.
    [6] LI J, STOICA P. MIMO radar with colocated antennas[J]. IEEE Signal Processing Magazine, 2007, 24(5): 106-114. doi: 10.1109/MSP.2007.904812
    [7] HAIMOVICH A M, BLUM R S, CIMINI L J. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2007, 25(1): 116-129.
    [8] ZHANG H W, LIU W J, ZHANG Z J, et al. Joint target assignment and power allocation in multiple distributed MIMO radar networks[J]. IEEE Systems Journal, 2020, 15(1): 694-704.
    [9] HASSANIEN A, VOROBYOV S A. Why the phased-MIMO radar outperforms the phased-array and MIMO radars[C]//Proceedings of the 18th European Signal Processing Conference. Piscataway: IEEE Press, 2010: 1234-1238.
    [10] LIU R T, ZHANG W, YU X X, et al. Transmit-receive beamforming for distributed phased-MIMO radar system[J]. IEEE Transactions on Vehicular Technology, 2021, 71(2): 1439-1453.
    [11] 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.

    QI C, XIE J W, ZHANG H W, et al. Hybrid distributed PA-MIMO radar system model for improved target detection performance[J]. Journal of Radars, 2023, (12)3: 576-589(in Chinese).
    [12] BERGIN J, MCNEIL S, FOMUNDAM L, et al. MIMO phased-array for SMTI radar[C]//Proceedings of the International Waveform Diversity and Design Conference. Piscataway: IEEE Press, 2009: 123.
    [13] HASSANIEN A, VOROBYOV S A. Phased-MIMO radar: A tradeoff between phased-array and MIMO radars[J]. IEEE Transactions on Signal Processing, 2010, 58(6): 3137-3151. doi: 10.1109/TSP.2010.2043976
    [14] EL-DIN ISMAIL N, MAHMOUD S H, HAFEZ A S, et al. A new phased MIMO radar partitioning schemes[C]//Proceedings of the IEEE Aerospace Conference. Piscataway: IEEE Press, 2014: 1-7.
    [15] XU L Z, LI J. Iterative generalized-likelihood ratio test for MIMO radar[J]. IEEE Transactions on Signal Processing, 2007, 55(6): 2375-2385. doi: 10.1109/TSP.2007.893937
    [16] FUHRMANN D R, BROWNING J P, RANGASWAMY M. Signaling strategies for the hybrid MIMO phased-array radar[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(1): 66-78. doi: 10.1109/JSTSP.2009.2038968
    [17] XU J, DAI X Z, XIA X G, et al. Optimal transmitting diversity degree-of-freedom for statistical MIMO radar[C]//Proceedings of the IEEE Radar Conference. Piscataway: IEEE Press, 2010: 437-440.
    [18] XU J, DAI X Z, XIA X G, et al. Optimizations of multisite radar system with MIMO radars for target detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(4): 2329-2343. doi: 10.1109/TAES.2011.6034636
    [19] 费太勇, 谭贤四, 张堃, 等. 分布式MIMO数字阵列雷达阵元优化配置[J]. 现代雷达, 2017, 39(8): 22-27.

    FEI T Y, TAN X S, ZHANG K, et al. Optimizations of elements configurations for distributed MIMO digital array radar[J]. Modern Radar, 2017, 39(8): 22-27(in Chinese).
    [20] SHI C G, DING L T, WANG F, et al. Collaborative radar node selection and transmitter resource allocation algorithm for target tracking applications in multiple radar architectures[J]. Digital Signal Processing, 2022, 121: 103318. doi: 10.1016/j.dsp.2021.103318
    [21] HE Q, BLUM R S, GODRICH H, et al. Target velocity estimation and antenna placement for MIMO radar with widely separated antennas[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(1): 79-100. doi: 10.1109/JSTSP.2009.2038974
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出版历程
  • 收稿日期:  2022-12-27
  • 录用日期:  2023-03-10
  • 网络出版日期:  2023-03-21
  • 整期出版日期:  2025-01-31

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