基于改进混合坐标系的大斜视俯冲机动平台SAR快速时域成像算法

闫莉; 许高添; 张廷豪

doi:10.12263/DZXB.20240059

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基于改进混合坐标系的大斜视俯冲机动平台SAR快速时域成像算法

学术论文 | 更新时间：2026-05-07

- 基于改进混合坐标系的大斜视俯冲机动平台SAR快速时域成像算法
- A Fast Time-Domain Imaging Algorithm for High-Squint Diving Maneuvering Platform SAR Based on Modified Hybrid Coordinate System
- 电子学报 2024年52卷第10期页码：3472-3481
- 作者机构：
  
  1.西安电子科技大学前沿交叉研究院，陕西西安 710071
  2.西安电子科技大学雷达信号处理全国重点实验室，陕西西安 710071
  3.西安电子科技大学物理学院，陕西西安 710071
- 作者简介：
  
  [ "闫莉女，1979年9月出生，陕西西安人.西安电子科技大学博士研究生.主要研究方向为航空计算机、雷达信息与信号处理. E-mail: sxyl79716@163.com" ]
  [ "许高添男，1996年5月出生，江苏南通人.西安电子科技大学雷达信号处理全国重点实验室博士研究生.主要研究方向为单双基合成孔径雷达成像. E-mail: xgt1996@qq.com" ]
  [ "张廷豪男，1996年5月出生，陕西咸阳人.西安电子科技大学物理学院博士后，助理研究员.主要研究方向为单双基合成孔径雷达成像. E-mail: tslnzhangtao@163.com" ]
- 基金信息：
  
  国家自然科学基金(62171337);中央高校基本科研业务费专项资金(ZYTS24116)
- DOI：10.12263/DZXB.20240059
  中图分类号： TN957;
- 收稿：2024-01-12，
  
  修回：2024-04-30，
  
  纸质出版：2024-10-25
- 稿件说明：
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闫莉, 许高添, 张廷豪. 基于改进混合坐标系的大斜视俯冲机动平台SAR快速时域成像算法[J]. 电子学报, 2024, 52(10): 3472-3481.

YAN Li, XU Gao-tian, ZHANG Ting-hao. A Fast Time-Domain Imaging Algorithm for High-Squint Diving Maneuvering Platform SAR Based on Modified Hybrid Coordinate System[J]. Acta Electronica Sinica, 2024, 52(10): 3472-3481.
闫莉, 许高添, 张廷豪. 基于改进混合坐标系的大斜视俯冲机动平台SAR快速时域成像算法[J]. 电子学报, 2024, 52(10): 3472-3481. DOI：10.12263/DZXB.20240059

YAN Li, XU Gao-tian, ZHANG Ting-hao. A Fast Time-Domain Imaging Algorithm for High-Squint Diving Maneuvering Platform SAR Based on Modified Hybrid Coordinate System[J]. Acta Electronica Sinica, 2024, 52(10): 3472-3481. DOI：10.12263/DZXB.20240059

摘要

多级子图像融合是加速合成孔径雷达（Synthetic Aperture Radar，SAR）时域成像的关键手段.然而，机动平台SAR的大斜视采集增强了频谱支持区域的不规则特性，降低图像融合的效率和精度.针对这些问题，本文设计了一种改进的混合坐标系，在此基础上开发了大斜视俯冲机动平台SAR快速时域成像算法.得益于改进混合坐标系中建立的等效斜距模型，频谱对斜视角的敏感度降低，消除了频谱空变现象.因此，设计频谱预处理函数可以有效压缩和拼接频谱，提升图像融合的效率和精度.通过仿真和原始数据处理，验证了提出算法性能的优越性.

Abstract

The multi-stage sub-image merging is a key method to accelerate to synthetic aperture radar (SAR) imaging in the time domain. However

the high-squint acquisition in the maneuvering platform enhances the irregularity of the support region of the spectrum

which degrades the performance of image merging in efficiency and accuracy. Because of these issues

in this paper

a modified hybrid coordinate system is designed

based on which a fast time domain imaging algorithm is developed for high-squint diving maneuvering platform SAR. Benefiting from the equivalent slant range model in the modified hybrid coordinate system

the sensitivity of the spectrum to the squinted angle is reduced

and the space variation phenomenon of the spectrum is eliminated. Hence

the spectral preprocessing function can be easily designed to effectively compress and merge the spectrum

which improves the performance of the image merging in efficiency and accuracy. Both simulated and raw data are processed to validate the performance superiority of the proposed algorithm.

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references

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