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基于三维等距球体解析模型的俯冲段大斜视SAR成像算法

钟华 王梦圆 宋慧娜 白壬潮 李世平 曹佳熠 赵荣华

钟华, 王梦圆, 宋慧娜, 白壬潮, 李世平, 曹佳熠, 赵荣华. 基于三维等距球体解析模型的俯冲段大斜视SAR成像算法[J]. 电子与信息学报, 2021, 43(3): 657-664. doi: 10.11999/JEIT200650
引用本文: 钟华, 王梦圆, 宋慧娜, 白壬潮, 李世平, 曹佳熠, 赵荣华. 基于三维等距球体解析模型的俯冲段大斜视SAR成像算法[J]. 电子与信息学报, 2021, 43(3): 657-664. doi: 10.11999/JEIT200650
Hua ZHONG, Mengyuan WANG, Huina SONG, Renchao BAI, Shiping LI, Jiayi CAO, Ronghua ZHAO. An Imaging Algorithm for Diving Highly Squinted SAR Based on Three-Dimensional Equidistant Sphere Analytical Model[J]. Journal of Electronics & Information Technology, 2021, 43(3): 657-664. doi: 10.11999/JEIT200650
Citation: Hua ZHONG, Mengyuan WANG, Huina SONG, Renchao BAI, Shiping LI, Jiayi CAO, Ronghua ZHAO. An Imaging Algorithm for Diving Highly Squinted SAR Based on Three-Dimensional Equidistant Sphere Analytical Model[J]. Journal of Electronics & Information Technology, 2021, 43(3): 657-664. doi: 10.11999/JEIT200650

基于三维等距球体解析模型的俯冲段大斜视SAR成像算法

doi: 10.11999/JEIT200650
基金项目: 国家自然科学基金(61301248),中国博士后科学基金(2018M630589),浙江省基础公益项目(LGG18F010009),声呐技术重点实验室开放基金(6142109KF201807),浙江省教育厅一般科研项目(Y201942113)
详细信息
    作者简介:

    钟华:男,1978年生,博士,副教授,研究方向为信号与信息处理

    王梦圆:男,1995年生,硕士生,研究方向为信号与信息处理

    宋慧娜:女,1987年生,博士,讲师,研究方向为信号与信息处理

    白壬潮:男,1980年生,硕士生,高级工程师,研究方向为飞行器总体设计与载荷研制

    李世平:男,1995年生,硕士生,研究方向为信号与信息处理

    曹佳熠:男,1996年生,硕士生,研究方向为信号与信息处理

    赵荣华:男,1995年生,硕士生,研究方向为信号与信息处理

    通讯作者:

    钟华 hzhong@hdu.edu.cn

  • 中图分类号: TN957.52

An Imaging Algorithm for Diving Highly Squinted SAR Based on Three-Dimensional Equidistant Sphere Analytical Model

Funds: The National Natural Science Foundation of China(61301248), China Postdoctoral Science Foundation(2018M630589), Zhejiang Province Science and Technology Plan Project(LGG18F010009), The Science and Technology on Sonar Laboratory(6142109KF201807), Zhejiang Provincial Department of Education Research Projects(Y201942113)
  • 摘要: 当合成孔径雷达(SAR)工作在俯冲段大斜视模式时,面临着斜视角沿距离向空变、距离-方位耦合严重以及3维速度与加速度带来扰动等问题,导致回波存在着严重的距离徙动(RCM)和多普勒相位的2维空变。针对这些问题,该文构建了一种用于精确描述俯冲段大斜视SAR回波距离-方位空变特性的3维等距球体解析模型。基于该模型,提出一种去除方位空变残余高阶RCM的校正方法,并重新推导了去除多普勒相位方位空变的频域拓展非线性变标(FENLCS)方法,结合子孔径处理方式解决了SAR工作在俯冲段大斜视模式下所面临问题。理论分析和仿真结果证明,该文构建的模型对于回波的距离-方位空变特性有着更精确的描述,且所提算法具有更好的成像效果。
  • 图  1  俯冲段SAR成像几何构型

    图  2  3维等距球体解析模型图

    图  3  斜距建模误差

    图  4  残余高阶RCM校正结果

    图  5  线性距离模型和球模型的相位误差

    图  6  算法处理流程

    图  7  方位空变的残余高阶RCM校正结果

    图  8  参考算法与本文的点目标聚焦效果对比

    表  1  仿真参数

    参数数值参数数值
    平台速度(130, 50, –50) m/s加速度(1.5, 0.5, –0.5) m/s2
    场景中心斜距10 km合成孔径时间1.49 s
    距离带宽150 MHz采样频率378 MHz
    参考斜视角52°脉冲重复频率1.4 kHz
    载频10 GHz脉冲宽度5.8 μs
    下载: 导出CSV

    表  2  聚焦性能指标测量结果

    点目标点目标P1点目标P0点目标P4
    文献[8]的峰值旁瓣比(dB)–9.14–13.22–13.18
    文献[8]的积分旁瓣比(dB)–5.26–9.85–9.76
    文献[8]的方位分辨率(m)1.071.041.06
    本文算法的峰值旁瓣比(dB)–13.21–13.26–13.22
    本文算法的积分旁瓣比(dB)–9.79–9.87–9.83
    本文算法的方位分辨率(m)1.051.041.05
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-08-03
  • 修回日期:  2020-12-10
  • 网络出版日期:  2021-02-22
  • 刊出日期:  2021-03-22

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