认知智能雷达抗干扰技术综述与展望

崔国龙 余显祥 魏文强 熊奎 孔昱凯 孔令讲

崔国龙, 余显祥, 魏文强, 等. 认知智能雷达抗干扰技术综述与展望[J]. 雷达学报, 2022, 11(6): 974–1002. doi: 10.12000/JR22191
引用本文: 崔国龙, 余显祥, 魏文强, 等. 认知智能雷达抗干扰技术综述与展望[J]. 雷达学报, 2022, 11(6): 974–1002. doi: 10.12000/JR22191
CUI Guolong, YU Xianxiang, WEI Wenqiang, et al. An overview of antijamming methods and future works on cognitive intelligent radar[J]. Journal of Radars, 2022, 11(6): 974–1002. doi: 10.12000/JR22191
Citation: CUI Guolong, YU Xianxiang, WEI Wenqiang, et al. An overview of antijamming methods and future works on cognitive intelligent radar[J]. Journal of Radars, 2022, 11(6): 974–1002. doi: 10.12000/JR22191

认知智能雷达抗干扰技术综述与展望

doi: 10.12000/JR22191
基金项目: 国家自然科学基金(U19B2017, 62101097, 62271126),长江学者基金,中国博士后科学基金(2020M680147, 2021T140096)
详细信息
    作者简介:

    崔国龙,教授,博士生导师,研究方向为最优化理论和算法、雷达目标检测理论、波形多样性以及阵列信号处理等

    余显祥,博士后,研究方向为雷达波形设计与处理、最优化理论算法以及阵列信号处理等

    魏文强,博士生,研究方向为阵列信号处理、最优化理论和算法以及波束赋形等

    熊 奎,博士生,研究方向为多雷达智能协同探测、多智能体学习以及自适应信号处理等

    孔昱凯,博士生,研究方向为雷达杂波抑制、干扰智能认知、雷达抗干扰波形设计等

    孔令讲,教授,博士生导师,研究方向为新体制雷达、统计信号处理、优化理论和算法、雷达信号处理、非合作信号处理技术和自适应阵列信号处理等

    通讯作者:

    崔国龙 cuiguolong@uestc.edu.cn

  • 责任主编:全英汇 Corresponding Editor: QUAN Yinghui
  • 中图分类号: TN958

An Overview of Antijamming Methods and Future Works on Cognitive Intelligent Radar

Funds: The National Natural Science Foundation of China (U19B2017, 62101097, 62271126), The Chang Jiang Scholars Program, Postdoctoral Science Foundation under Grants (2020M680147, 2021T140096)
More Information
  • 摘要: 随着电磁频谱成为现代战争的关键作战域之一,在未来军事作战中,现代雷达将面临日益复杂、灵巧和智能的电磁干扰环境。认知智能雷达具备环境主动感知、任意发射和接收设计、智能处理和资源调度等能力,可适应复杂多变的战场电磁对抗环境,是雷达技术领域重点发展的方向之一。该文将认知智能雷达从结构上分解为认知发射、认知接收、智能处理以及智能控制等4大功能模块,梳理出干扰感知、发射设计、接收设计、信号处理和资源调度等认知智能雷达每个环节的抗干扰原理,并对近几年代表性文献进行归纳总结,分析了该领域技术发展趋势,旨在为以后的技术研究提供必要的参考和依据。

     

  • 图  1  认知智能雷达抗干扰技术架构示意图

    Figure  1.  Schematic diagram of cognitive radar system

    图  2  脉间初始相位优化波形抗干扰结果

    Figure  2.  Anti-jamming results of initial phase optimized waveform between pulses

    图  3  脉间相位捷变优化波形抗干扰结果

    Figure  3.  Anti-jamming results of the optimized waveform with interpulse phase agility

    图  4  不同场景下抗干扰效果[40]

    Figure  4.  The effect of anti-jamming in different scenarios[40]

    图  5  多目标多距离欺骗干扰抗干扰结果

    Figure  5.  Anti-multi-distance spoofing jamming results in multi-target scenarios

    图  6  密集复制假目标干扰下单目标探测结果

    Figure  6.  Anti-dense replication false target jamming results in single target scenario

    图  7  重复间歇采样干扰抑制距离-多普勒平面图[53]

    Figure  7.  The range-Doppler graph of jamming suppression for repetitive repeater interference scenario[53]

    图  8  部分脉冲转发干扰抑制效果图[53]

    Figure  8.  The results of jamming suppression for partial pulse repeater interference scenario[53]

    图  9  直接间歇采样干扰抑制效果图[53]

    Figure  9.  The results of jamming suppression for direct repeater interference scenario[53]

    图  10  基于ADMM框架的旁瓣控制波束图设计[72]

    Figure  10.  Beampattern synthesis with sidelobe level control via ADMM framework[72]

    图  11  基于FOICA算法的零陷方向图[95]

    Figure  11.  Beampattern synthesis with nulling via FOICA[95]

    图  12  雷达对抗效能常用指标

    Figure  12.  Commonly used effectiveness indexes for radar countermeasure

    表  1  基于试验、仿真和解析计算的效能评估方法对比

    Table  1.   Performance evaluation methods based on experiment, simulation, and analytical computation

    评估方法实现方式优点缺点
    试验法外场试验实时性好,数据可靠,结果可信成本高,灵活性差
    仿真法计算机实时仿真成本低,适应性好,可近似得到外场试验效果数据可靠性和结果可信度次于试验法
    解析计算法通过数学分析指标之间的关系,建立评估模型,
    借助试验和仿真手段,进行量化评估
    可理论上探讨可能的对抗效能,受资金、设备和技术的制约小实时性差
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出版历程
  • 收稿日期:  2022-09-23
  • 修回日期:  2022-11-27
  • 网络出版日期:  2022-12-14
  • 刊出日期:  2022-12-28

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