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基于多项式模型和方位重采样的中高轨斜视滑动聚束SAR成像方法*

郭艺琼1,2, 任明山1,2, 张衡1†, 岳海霞1   

  1. 1 中国科学院空天信息创新研究院,北京, 100094;
    2 中国科学院大学电子电气与通信工程学院,北京, 100049
  • 收稿日期:2024-01-03 修回日期:2024-03-26 发布日期:2024-04-07
  • 通讯作者: †E-mail:zhangheng@aircas.ac.cn
  • 基金资助:
    *电子学会第六届青托(E2H2160202)资助; 电子学会第六届青托(E2H2160202)资助

Imaging algorithm for squint sliding spotlight SAR operating in medium-earth-orbit based on polynomial and azimuth resampling method

GUO Yiqiong1,2, REN Mingshan1,2, ZHANG Heng1, YUE Haixia1   

  1. 1 Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;
    2 School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China
  • Received:2024-01-03 Revised:2024-03-26 Published:2024-04-07

摘要: 中高轨道合成孔径雷达(MEO SAR)具备低重访周期、高空间分辨率和宽测绘带宽的能力,在军民领域都有良好应用前景。MEO SAR通过工作于滑动聚束模式提高方位分辨率,并通过斜视的工作模式提升系统灵活性。然而,轨道高度的提高使得方位平移不变假设不再成立,斜视滑聚工作模式也会造成频谱扭曲。对此,本文基于多项式信号模型的建模方法,推导成像参数的计算过程。通过引入一种新的模型拟合方法和去斜函数,将只适用于条带模式的方位时域重采样方法推广到滑动聚束模式下,用于校正方位空变性。文章提出非线性平移法结合两步式的处理流程,解决斜视滑聚模式下的频谱混叠,最后用仿真实验验证所提出的方法。

关键词: 星载SAR, MEO, 方位重采样, 滑动聚束模式, 斜视

Abstract: The medium-earth-orbit synthetic aperture radar (MEO SAR) possesses the capability of low-revisit cycle, high spatial resolution, and wide coverage, which has promising applications in both military and civilian fields. The MEO SAR can improve azimuth resolution by operating in sliding spotlight mode, and can enhance system flexibility through squint imaging mode. However, the increase of orbit height invalidates the assumption of azimuth invariance and the squint mode causes spectrum distortion. In this paper, first, we derive the calculation process of imaging parameters based on the polynomial signal model. Then, by introducing a new model fitting method and a deramp function, we extend the azimuth time-domain resampling method from the stripmap mode to the sliding spotlight mode, correcting the azimuth space-variant characteristics. We further propose a processing flow by combing the two-step method and the non-linear range walk correction to solve the spectrum aliasing in the squint sliding spotlight mode. Finally, the proposed method is verified through simulation experiments.

Key words: spaceborne SAR, MEO, azimuth resampling, sliding spotlight mode, squint

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