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首页> 外文期刊>EURASIP journal on advances in signal processing >Nonlinear Frequency Scaling Algorithm for High Squint Spotlight SAR Data Processing
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Nonlinear Frequency Scaling Algorithm for High Squint Spotlight SAR Data Processing

机译:高射灯SAR数据处理的非线性频率标度算法。

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This paper presents a new approach for the squint-mode spotlight SAR imaging. Like the frequency scaling algorithm, this method starts with the received signal dechirped in range. According to the geometry for the squint mode, the reference range of the dechirping function is defined as the range between the scene center and the synthetic aperture center. In our work, the residual video phase is compensated firstly to facilitate the following processing. Then the range-cell migration with a high-order range-azimuth coupling form is processed by a nonlinear frequency scaling operation, which is different from the original frequency scaling one. Due to these improvements, the algorithm can be used to process high squint SAR data with a wide swath and a high resolution. In addition, some simulation results are given at the end of this paper to demonstrate the validity of the proposed method.
机译:本文提出了斜模式聚光SAR成像的一种新方法。与频率缩放算法一样,此方法从接收信号在范围内减小了十倍开始。根据斜视模式的几何形状,将去毛刺函数的参考范围定义为场景中心和合成光圈中心之间的范围。在我们的工作中,首先补偿剩余视频相位,以利于后续处理。然后,通过非线性频率缩放操作来处理具有高阶距离方位角耦合形式的距离单元迁移,这与原始频率缩放操作不同。由于这些改进,该算法可用于处理宽斜度和高分辨率的高斜视SAR数据。另外,本文最后给出了一些仿真结果,证明了该方法的有效性。

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