扫描雷达未知天线方向图误差下的稀疏目标角超分辨重建方法

张寅 张平 庹兴宇 毛德庆 张永超 黄钰林 杨建宇

张寅, 张平, 庹兴宇, 等. 扫描雷达未知天线方向图误差下的稀疏目标角超分辨重建方法[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR23208
引用本文: 张寅, 张平, 庹兴宇, 等. 扫描雷达未知天线方向图误差下的稀疏目标角超分辨重建方法[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR23208
ZHANG Yin, ZHANG Ping, TUO Xingyu, et al. Sparse targets angular super-resolution reconstruction method under unknown antenna pattern errors for scanning radar[J]. Journal of Radars, in press. doi: 10.12000/JR23208
Citation: ZHANG Yin, ZHANG Ping, TUO Xingyu, et al. Sparse targets angular super-resolution reconstruction method under unknown antenna pattern errors for scanning radar[J]. Journal of Radars, in press. doi: 10.12000/JR23208

扫描雷达未知天线方向图误差下的稀疏目标角超分辨重建方法

doi: 10.12000/JR23208
基金项目: 四川省自然科学基金项目(2023NSFSC1970, 2022NSFSC0950),衢州市财政资助科研项目(2022D0011, 2022D036, 2023D026)
详细信息
    作者简介:

    张 寅,研究员,主要研究方向为信号处理和雷达成像等

    张 平,博士生,主要研究方向为机载雷达前视超分辨成像等

    庹兴宇,博士生,主要研究方向为运动平台雷达前视超分辨成像等

    毛德庆,博士,主要研究方向为雷达信号处理等

    张永超,副研究员,主要研究方向为阵列信号处理和雷达应用中的逆问题等

    黄钰林,教授,主要研究方向为雷达成像、检测与识别和机器学习等

    杨建宇,教授,主要研究方向为合成孔径雷达和统计信号处理等

    通讯作者:

    张寅 yinzhang@uestc.edu.cn

  • 责任主编:陈洪猛 Corresponding Editor: CHEN Hongmeng
  • 中图分类号: TN957

Sparse Targets Angular Super-resolution Reconstruction Method under Unknown Antenna Pattern Errors for Scanning Radar

Funds: The Natural Science Foundation of Sichuan Province (2023NSFSC1970, 2022NSFSC0950), The Municipal Government of Quzhou under Grant Number (2022D0011, 2022D036, 2023D026)
More Information
  • 摘要: 扫描雷达角超分辨技术是基于目标与天线方向图的关系,采用解卷积方法获取超越实波束的角分辨能力。目前的角超分辨方法大都是基于理想的无畸变天线方向图,未考虑实际过程中方向图的变化。然而,由于雷达天线罩、天线测量误差与平台非理想运动等因素的影响,天线方向图在实际中往往存在未知的误差,会导致目标分辨能力下降,甚至产生虚假目标。针对此问题,该文提出一种机载扫描雷达未知天线方向图误差下的角超分辨成像方法。首先,基于总体最小二乘(TLS)准则,该文考虑了方向图误差矩阵的影响,导出了相应的目标函数;其次,基于交替迭代的求解思路,利用迭代重加权优化方法实现了目标函数求解;最后,针对算法超参数选取,引入了一种自适应参数选取方法。仿真与实测结果表明,该文方法能实现未知天线误差条件下的超分辨重建,进一步提升了超分辨算法的稳健性。

     

  • 图  1  机载扫描雷达的几何模型

    Figure  1.  Geometric structure of airborne scanning radar

    图  2  点目标分布场景

    Figure  2.  Target distribution condition

    图  3  较小展宽误差下的一维点目标处理结果($ \gamma $=1.2)

    Figure  3.  One-dimensional point target processing results under little broaden errors ($ \gamma $=1.2)

    图  4  较大展宽误差下的一维点目标处理结果($ \gamma $=1.4)

    Figure  4.  One-dimensional point target processing results under large broden errors ($ \gamma $=1.4)

    图  5  较小随机误差下的一维点目标处理结果($\xi $=0.1)

    Figure  5.  One-dimensional point target processing results under little random errors ($\xi $=0.1)

    图  6  较大随机误差下的一维点目标处理结果($\xi $=0.2)

    Figure  6.  One-dimensional point target processing results under large random errors ($\xi $=0.2)

    图  7  较小展宽误差+随机误差下的一维点目标处理结果($ \gamma $=1.2, $\xi $=0.1)

    Figure  7.  One-dimensional point target processing results under little broaden errors with random errors ($ \gamma $=1.2, $\xi $=0.1)

    图  8  较大展宽误差+随机误差下的一维点目标处理结果($ \gamma $=1.4, $\xi $=0.2)

    Figure  8.  One-dimensional point target processing results under large broaden errors with random errors ($ \gamma $=1.4, $\xi $=0.2)

    图  9  不同信噪比下均方根误差曲线图

    Figure  9.  Root mean square error curve chart under different signal-to-noise ratios

    图  10  面目标场景与目标分布

    Figure  10.  Area target scene and target distribution

    图  11  较小展宽误差下二维面目标处理结果($ \gamma $=1.2)

    Figure  11.  Two-dimensional area target processing results under little broaden errors ($ \gamma $=1.2)

    图  12  较大展宽误差下二维面目标处理结果($ \gamma $=1.4)

    Figure  12.  Two-dimensional area target processing results under large broaden errors ($ \gamma $=1.4)

    图  13  较小随机误差下二维面目标处理结果($\xi $=0.1)

    Figure  13.  Two-dimensional area target processing results under little random errors ($\xi $=0.1)

    图  14  较大随机误差下二维面目标处理结果($\xi $=0.2)

    Figure  14.  Two-dimensional area target processing results under large random errors ($\xi $=0.2)

    图  15  较小展宽+随机误差下二维面目标处理结果($ \gamma $=1.2, $\xi $=0.1)

    Figure  15.  Two-dimensional area target processing results under little broaden errors with random errors ($ \gamma $=1.2, $\xi $=0.1)

    图  16  较大展宽+随机误差下二维面目标处理结果($ \gamma $=1.4, $\xi $=0.2)

    Figure  16.  Two-dimensional area target processing results under large broaden errors with random errors ($ \gamma $=1.4, $\xi $=0.2)

    图  17  不同信噪比下图像熵曲线图

    Figure  17.  Image entropy curve chart under different signal-to-noise ratios

    图  18  角反射器布设光学图

    Figure  18.  Corner reflector laying optical figure

    图  19  实测数据处理结果

    Figure  19.  Experiment data processing results

    表  1  仿真参数

    Table  1.   Simulation parameters

    参数 数值
    载频(GHz) 10.75
    信号带宽(MHz) 40
    脉冲重复频率(Hz) 1000
    天线扫描速度(°/s) 60
    波束宽度(°) 3
    扫描范围(°) –10~10
    下载: 导出CSV

    表  2  仿真环境

    Table  2.   Simulation conditions

    硬件/软件 参数值
    CPU Intel(R) Core(TM)i7-9700K
    RAM 64 GB
    仿真软件 Matlab 2022a
    下载: 导出CSV

    表  3  扫描雷达系统参数

    Table  3.   Scanning radar system parameters

    参数 数值
    载频(GHz) 30.75
    信号带宽(MHz) 200
    脉冲重复频率(Hz) 4000
    主瓣宽度(°) 4
    天线扫描速度(°/s) 60
    信号时宽(μs) 1
    扫描范围(°) –35~35
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-10-29
  • 修回日期:  2024-02-17
  • 网络出版日期:  2024-03-15

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