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ISAR Imaging Algorithm of Maneuvering Target Based on Matching Flourier Transform

机译:基于匹配傅里叶变换的机动目标ISAR成像算法

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When the maneuvering target is imaging in ISAR, the equivalent rotational speed of the target is non-uniform, and the cross-range compression by the Fourier transform will lead to defocusing of the image. In this paper, the matching Fourier transform is applied to the ISAR imaging of maneuvering target. The cross-range compression is completed by constructing a basis function that is consistent with the target cross-range phase, which eliminates the problem of image defocusing caused by the non-uniform target speed of rotation. Simulation experiments verify the effectiveness of the proposed algorithm.
机译:当机动目标在ISAR中成像时,目标的等效旋转速度不均匀,并且通过傅立叶变换进行的跨范围压缩将导致图像散焦。本文将匹配的傅里叶变换应用于机动目标的ISAR成像。通过构建与目标跨范围相位一致的基函数可以完成跨范围压缩,从而消除了由目标旋转速度不均匀引起的图像散焦问题。仿真实验验证了该算法的有效性。

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