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An improved motion compensation method for high resolution UAV SAR imaging

一种改进的适用于高分辨无人机SAR成像的运动补偿方法

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Abstract

The polynomial and sinusoidal motion errors always exist in the unmanned aero vehicle (UAV) SAR due to the small size and low velocity of the platform, causing serious spectrum compressing/stretching and significant spectral replicas of the azimuth signal. The motion errors induce serious blurring of the SAR image and “ghost targets”, and can hardly be precisely estimated by the conventional motion compensation (MOCO) method. In this paper, an improved MOCO method is proposed to estimate and eliminate the motion errors in the high resolution UAV SAR without high precision inertial navigation system (INS) data. The time domain range walk correction (RWC) operation in the coarse phase error estimation process of the proposed MOCO method is the key operation that ensures the estimation accuracy of the whole MOCO method. Finally, the validity of the improved MOCO method is verified by computer simulations and real UAV SAR data processing.

概要

创新点

由于平台体积小、 速度慢, 无人机SAR受载机机械振动和空气扰动的影响非常大, 导致回波数据的多普勒相位历程中出现多项式型和正弦型相位误差. 这些误差将分别导致图像的严重散焦和虚假目标的产生. 已有的运动补偿方法很难精确地对这些误差进行估计. 因此, 本文提出了一种改进的不依靠高精度惯导数据的运动补偿方法. 此方法直接利用回波数据对这些误差进行精确的估计与补偿. 计算机仿真和无人机SAR实测数据处理验证了此运动补偿方法的有效性.

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Authors and Affiliations

  1. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    BangKui Fan, ZeGang Ding, WenBin Gao & Teng Long

  2. Beijing Institute of Information Technology, Beijing, 102401, China

    BangKui Fan

Authors
  1. BangKui Fan
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  2. ZeGang Ding
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  3. WenBin Gao
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  4. Teng Long
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Correspondence to ZeGang Ding.

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Fan, B., Ding, Z., Gao, W. et al. An improved motion compensation method for high resolution UAV SAR imaging. Sci. China Inf. Sci. 57, 1–13 (2014). https://doi.org/10.1007/s11432-014-5189-2

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  • DOI: https://doi.org/10.1007/s11432-014-5189-2

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