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Spaceborne Large-Squint Terrain-Matching Synthetic Aperture Radar: Concept and Technology

机译:星载大斜视地形匹配合成孔径雷达:概念和技术

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This paper discusses a new spaceborne large-squint terrain-matching synthetic aperture radar (LSTM-SAR) to effectively image the terrains that do not spread along satellite orbit. Different from the traditional spaceborne SAR, the swath of the LSTM-SAR spreads along the target terrain, instead of the satellite orbit, to perform terrain-matched imaging with both high resolution and short data acquisition period. Aiming at giving a sketch of how the LSTM-SAR works, the paper focuses on discussing the following three main aspects: the data acquisition geometry, azimuth sampling manner and raw data focusing algorithm. Specifically, an optimum squint geometry is firstly suggested for two dimensional swath optimization; then two non-uniform azimuth sampling methods are discussed to avoid data loss induced by transmission blockage; lastly, a wide nonlinear chirp scaling based algorithm is discussed to focus the spatially variant spaceborne LSTM-SAR echo. The presented approach is validated via the computer simulations.
机译:本文讨论了一种新型的星载大斜视地形匹配合成孔径雷达(LSTM-SAR),以有效地成像未沿卫星轨道传播的地形。与传统的星载SAR不同,LSTM-SAR的条带沿目标地形而不是卫星轨道传播,以高分辨率和短数据采集周期执行地形匹配的成像。为了概述LSTM-SAR的工作原理,本文重点讨论以下三个主要方面:数据采集几何,方位采样方式和原始数据聚焦算法。具体而言,首先为二维扫描带优化建议了最佳的斜视几何形状;其次,提出了最佳的斜视几何形状。然后讨论了两种非均匀方位采样方法,以避免传输阻塞引起的数据丢失。最后,讨论了一种基于非线性线性调频标度的算法,以关注空间变异的星载LSTM-SAR回波。通过计算机仿真验证了所提出的方法。

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