空/时对称阵列雷达非高斯杂波背景下多秩距离扩展目标检测方法

高永婵 潘丽燕 李亚超 左磊

高永婵, 潘丽燕, 李亚超, 等. 空/时对称阵列雷达非高斯杂波背景下多秩距离扩展目标检测方法[J]. 雷达学报, 2022, 11(5): 765–777. doi: 10.12000/JR22013
引用本文: 高永婵, 潘丽燕, 李亚超, 等. 空/时对称阵列雷达非高斯杂波背景下多秩距离扩展目标检测方法[J]. 雷达学报, 2022, 11(5): 765–777. doi: 10.12000/JR22013
GAO Yongchan, PAN Liyan, LI Yachao, et al. Multi-rank range-spread target detection method for space/time symmetric array radar under non-Gaussian clutter background[J]. Journal of Radars, 2022, 11(5): 765–777. doi: 10.12000/JR22013
Citation: GAO Yongchan, PAN Liyan, LI Yachao, et al. Multi-rank range-spread target detection method for space/time symmetric array radar under non-Gaussian clutter background[J]. Journal of Radars, 2022, 11(5): 765–777. doi: 10.12000/JR22013

空/时对称阵列雷达非高斯杂波背景下多秩距离扩展目标检测方法

doi: 10.12000/JR22013
基金项目: 国家自然科学基金(61701370, 61871307, 61971432),中国博士后科学基金(2019M653561, 2020T130493)
详细信息
    作者简介:

    高永婵,教授,博士生导师,研究方向为阵列信号处理、空时自适应信号处理、新体制雷达目标检测与参数估计等

    潘丽燕,硕士生,研究方向为阵列信号处理、雷达自适应目标检测等

    李亚超,教授,博士生导师,研究方向为雷达探测与成像、精导对抗等

    左 磊,副教授,博士生导师,研究方向为雷达协同探测、雷达对抗等

    通讯作者:

    高永婵 ycgao@xidian.edu.cn

    潘丽燕 lypan@stu.xidian.edu.cn

  • 责任主编:郝程鹏 Corresponding Editor: HAO Chengpeng
  • 中图分类号: TN957.51

Multi-rank Range-spread Target Detection Method for Space/Time Symmetric Array Radar under Non-Gaussian Clutter Background

Funds: The National Natural Science Foundation of China (61701370, 61871307, 61971432), China Postdoctoral Science Foundation under Grant (2019M653561, 2020T130493)
More Information
  • 摘要: 针对多通道阵列雷达从实际杂波中检测目标场景,该文提出了一种面向多通道阵列雷达非高斯杂波背景的多秩距离扩展目标检测方法。首先,利用秩大于1的子空间矩阵和相应距离单元的坐标向量,建立了多秩距离扩展目标模型;然后,利用雷达接收单元空间或时间中心对称探测场景下杂波协方差矩阵的反对称结构信息,通过酉变换,采取广义似然比、Rao、Wald检验准则,构建待解参数小样本估计策略,设计了面向非高斯杂波背景的多秩距离扩展目标检测方法。最后,通过理论推导证明了所提检测方法相对于杂波协方差矩阵具有恒虚警特性。基于仿真数据和实测数据的实验结果表明,所提检测方法能够保证对杂波协方差矩阵具有恒虚警特性,此外,相较于现有检测方法,所提检测方法提升了小训练支持的目标检测性能,并且在导向矢量失配条件下,有效地改善目标检测的稳健性。

     

  • 图  1  本文所提检测器的CFAR特性曲线

    Figure  1.  CFAR property curves of the proposed detectors

    图  2  基于仿真数据的检测概率曲线

    Figure  2.  Detection probability curves based on the simulated data

    图  3  不同失配程度下基于仿真数据的检测概率曲线

    Figure  3.  Detection probability curves of the detectors for different mismatch levels based on the simulated data

    图  4  实测雷达对海探测数据

    Figure  4.  Real sea-detecting radar data

    图  5  基于实测数据的检测概率曲线

    Figure  5.  Detection probability curves based on the real data

    图  6  不同失配程度下基于实测数据的检测概率曲线

    Figure  6.  Detection probability curves of the detectors for different mismatch levels based on the real data

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出版历程
  • 收稿日期:  2022-01-13
  • 修回日期:  2022-03-10
  • 网络出版日期:  2022-04-14
  • 刊出日期:  2022-10-28

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