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Extended Multiple Aperture Mapdrift-Based Doppler Parameter Estimation and Compensation for Very-High-Squint Airborne SAR Imaging

机译:高斜视机载SAR成像的基于扩展多孔径Mapdrift的多普勒参数估计和补偿

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摘要

Doppler parameter estimation and compensation (DPEC) is an important technique for airborne SAR imaging due to the unpredictable disturbance of real aircraft trajectory. Traditional DPEC methods can be only applied for broadside, small- or medium-squint geometries, as they at most consider the spatial variance of the second-order Doppler phase. To implement the DPEC in very-high-squint geometries, we propose an extended multiple aperture mapdrift (EMAM) method in this paper for better accuracy. This advantage is achieved by further estimating and compensating the spatial variation of the third-order Doppler phase, i.e., the derivative of the Doppler rate. The main procedures of the EMAM, including the steps of sub-view image generation, sliding-window-based cross-correlation, and image-offset-based Doppler parameter estimation, are derived in detail, followed by the analyses for the EMAM performance. The presented approach is evaluated by both computer simulations and real airborne data.
机译:由于真实飞机轨迹的不可预测干扰,多普勒参数估计和补偿(DPEC)是机载SAR成像的一项重要技术。传统的DPEC方法只能应用于宽边,中斜视或中等斜视的几何形状,因为它们最多考虑了二阶多普勒相位的空间变化。为了在非常高斜率的几何形状中实现DPEC,我们在本文中提出了一种扩展的多孔径mapdrift(EMAM)方法,以实现更高的精度。通过进一步估计和补偿三阶多普勒相位的空间变化,即多普勒速率的导数,可以实现该优点。详细推导了EMAM的主要过程,包括子视图图像生成,基于滑动窗口的互相关和基于图像偏移的多普勒参数估计的步骤,然后分析了EMAM性能。所提出的方法是通过计算机仿真和实际机载数据进行评估的。

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