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前视多通道合成孔径雷达解模糊成像方法

卢景月 张磊 王冠勇

卢景月, 张磊, 王冠勇. 前视多通道合成孔径雷达解模糊成像方法[J]. 电子与信息学报, 2018, 40(12): 2820-2825. doi: 10.11999/JEIT180177
引用本文: 卢景月, 张磊, 王冠勇. 前视多通道合成孔径雷达解模糊成像方法[J]. 电子与信息学报, 2018, 40(12): 2820-2825. doi: 10.11999/JEIT180177
Jingyue LU, Lei ZHANG, Guanyong WANG. Ambiguity Resolving and Imaging Algorithm for Multi-channel Forward-looking Synthetic Aperture Radar[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2820-2825. doi: 10.11999/JEIT180177
Citation: Jingyue LU, Lei ZHANG, Guanyong WANG. Ambiguity Resolving and Imaging Algorithm for Multi-channel Forward-looking Synthetic Aperture Radar[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2820-2825. doi: 10.11999/JEIT180177

前视多通道合成孔径雷达解模糊成像方法

doi: 10.11999/JEIT180177
基金项目: 国家自然科学基金(61771372, 61771367)
详细信息
    作者简介:

    卢景月:男,1994年生,博士生,研究方向为合成孔径雷达成像

    张磊:男,1984年生,副教授,主要研究方向为合成孔径雷达成像、目标识别

    王冠勇:男,1989年生,工程师,主要研究方向为合成孔径雷达成像

    通讯作者:

    张磊  775807665@qq.com

  • 中图分类号: TN957.52

Ambiguity Resolving and Imaging Algorithm for Multi-channel Forward-looking Synthetic Aperture Radar

Funds: The National Natural Science Foundation of China (61771372, 61771367)
  • 摘要: 传统合成孔径雷达方位向分辨率仅由合成孔径提供,但在正前视区域多普勒分集有限,成像性能迅速下降且前视成像也存在固有的左右多普勒模糊问题。针对上述问题该文讨论前视多通道合成孔径雷达系统模型,提出一种理想直线航迹下空域零点约束自适应波束形成的成像方法,有效综合阵列实孔径和合成孔径提高正前视区域的成像质量,利用有限阵列空域自由度实现左右多普勒解模糊。首先对回波数据大前斜成像处理,得到左右模糊的图像,然后进行波束形成,将各通道图像加权并且相干累加,实现左右多普勒解模糊以及方位分辨率增强。仿真实验表明空域零点约束自适应波束形成的成像方法可对前视场景进行高分辨成像。
  • 图  1  FLMC-SAR系统模型

    图  2  算法处理流程

    图  3  点目标成像结果

    图  4  面目标成像结果

    表  1  仿真参数

    参数 数值 参数 数值
    载频Fc 30 GHz 脉冲重复频率PRF 8000 Hz
    信号带宽B 55 MHz 波束方位宽度
    采样带宽Fs 64 MHz 波束俯仰宽度 22°
    下压角 20° 场景中心斜距Rs 7000 m
    合成孔径长度 100 m 阵列实孔径长度 0.4 m
    下载: 导出CSV

    表  2  各方位点目标仿真分辨率与理论分辨率对比

    参数 数值 数值 数值 数值 数值
    坐标 (R0, 3.4°) (R0, –3.0°) (R0, 2.6°) (R0, 2.2°) (R0, 1.8°)
    仿真分辨率IRW(rad) 6.76E–04 7.63E–04 8.72E–04 1.13E–03 1.53E–03
    理论全孔径分辨率(rad) 7.00E–04 7.91E–04 9.09E–04 1.07E–03 1.29E–03
    理论合成孔径分辨率(rad) 7.50E–04 8.55E–04 9.94E–04 1.19E–03 1.46E–03
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-02-09
  • 修回日期:  2018-07-10
  • 网络出版日期:  2018-07-24
  • 刊出日期:  2018-12-01

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