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Nonsystematic Range Cell Migration Analysis and Autofocus Correction for Bistatic Forward-looking SAR

机译:双基地前瞻性SAR的非系统距离像元迁移分析和自动聚焦校正

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摘要

In general, autofocus methods integrated with frequency-domain imaging algorithms are instrumental to obtain a well-focused bistatic forward-looking synthetic aperture radar (BFSAR) image in the presence of motion errors. Nevertheless, before applying autofocus methods to correct the azimuth phase errors, range cell migration (RCM) should be eliminated by the RCM correction (RCMC) procedure in frequency-domain imaging algorithms. With motion errors being taken into account, there always exists some residual nonsystematic RCM (NsRCM), which refers to the residual migration components after the RCMC procedure. For the conventional side-looking SAR, NsRCM is caused by motion errors. On the other hand, NsRCM of BFSAR is originated from motion errors before RCMC and the NsRCM amplified by the RCMC procedure. In this paper, we analyze the different types of NsRCM in BFSAR imaging and their relationship. Based on the analyses, we propose an autofocus NsRCM correction scheme for BFSAR imagery using frequency-domain imaging algorithms that can eliminate the range-dependent NsRCM. The proposed scheme consists of three steps. First, for the BFSAR data after range compression and RCMC, a division procedure is carried out in the azimuth direction. The subblocks with the highest signal-to-clutter ratio along the range direction are selected after the azimuth segmentation procedure. Second, for the selected subblocks, the total NsRCM is estimated based on the minimum-entropy criterion. Based on the estimation results, different parts of the NsRCM are obtained by solving an ordinary differential equation. Third, a two-step compensation of the NsRCM is executed to reach the spatially variant correction. Simulations and experimental results are provided to demonstrate that our proposed scheme is effective for BFSAR imaging.
机译:通常,与频域成像算法集成的自动聚焦方法有助于在运动错误的情况下获得聚焦良好的双基地前瞻性合成孔径雷达(BFSAR)图像。尽管如此,在应用自动聚焦方法校正方位相位误差之前,应通过频域成像算法中的RCM校正(RCMC)程序消除距离像元迁移(RCM)。考虑到运动误差,总会存在一些残留的非系统RCM(NsRCM),它是指RCMC程序后的残留迁移成分。对于常规的侧面SAR,NsRCM是由运动误差引起的。另一方面,BFSAR的NsRCM源自RCMC之前的运动误差,以及通过RCMC程序放大的NsRCM。在本文中,我们分析了BFSAR成像中NsRCM的不同类型及其相互关系。在分析的基础上,我们提出了一种频域成像算法,用于BFSAR图像的自动聚焦NsRCM校正方案,可以消除与范围相关的NsRCM。拟议的方案包括三个步骤。首先,对于距离压缩和RCMC之后的BFSAR数据,在方位方向上执行分割过程。在方位分割过程之后,选择沿范围方向具有最高信杂比的子块。其次,对于所选子块,基于最小熵准则来估计总NsRCM。根据估计结果,通过求解一个常微分方程获得NsRCM的不同部分。第三,执行NsRCM的两步补偿以达到空间变化校正。仿真和实验结果表明,该方法对BFSAR成像有效。

著录项

  • 来源
    《IEEE Transactions on Geoscience and Remote Sensing.》 |2018年第11期|6556-6570|共15页
  • 作者单位

    University of Electronic Science and Technology of China, Chengdu, China;

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    Department of Electronic Engineering, Columbia University, New York, NY, USA;

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Azimuth; Imaging; Synthetic aperture radar; Frequency-domain analysis; Transmitters; Receivers; Radar imaging;

    机译:方位角;成像;合成孔径雷达;频域分析;发射机;接收机;雷达成像;

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