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A Novel General Imaging Formation Algorithm for GNSS-Based Bistatic SAR

机译:基于GNSS的双基地SAR的通用成像形成新算法。

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摘要

Global Navigation Satellite System (GNSS)-based bistatic Synthetic Aperture Radar (SAR) recently plays a more and more significant role in remote sensing applications for its low-cost and real-time global coverage capability. In this paper, a general imaging formation algorithm was proposed for accurately and efficiently focusing GNSS-based bistatic SAR data, which avoids the interpolation processing in traditional back projection algorithms (BPAs). A two-dimensional point target spectrum model was firstly presented, and the bulk range cell migration correction (RCMC) was consequently derived for reducing range cell migration (RCM) and coarse focusing. As the bulk RCMC seriously changes the range history of the radar signal, a modified and much more efficient hybrid correlation operation was introduced for compensating residual phase errors. Simulation results were presented based on a general geometric topology with non-parallel trajectories and unequal velocities for both transmitter and receiver platforms, showing a satisfactory performance by the proposed method.
机译:基于全球导航卫星系统(GNSS)的双基地合成孔径雷达(SAR)最近以其低成本和实时的全球覆盖能力在遥感应用中发挥着越来越重要的作用。本文提出了一种通用的成像方法,该算法可以精确有效地聚焦基于GNSS的双基地SAR数据,避免了传统反投影算法(BPA)中的插值处理。首先提出了二维点目标光谱模型,然后推导了大范围细胞迁移校正(RCMC),以减少距离细胞迁移(RCM)和粗聚焦。由于大量RCMC严重改变了雷达信号的测距历史,因此引入了一种经过修改且效率更高的混合相关运算来补偿残留相位误差。基于具有不平行的轨迹和不相等的速度的通用几何拓扑结构,给出了针对发射器和接收器平台的仿真结果,通过所提出的方法显示出令人满意的性能。

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