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ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform

机译:基于改进的离散多项式相位变换的ISAR机动目标成像

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摘要

Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational compensation, and the high quality ISAR images can be obtained by the parameters estimation of it combined with the Range-Instantaneous-Doppler (RID) technique. In this paper, a novel parameters estimation algorithm of the multi-component PPS with order three (cubic phase signal-CPS) based on the modified discrete polynomial-phase transform (MDPT) is proposed, and the corresponding new ISAR imaging algorithm is presented consequently. This algorithm is efficient and accurate to generate a focused ISAR image, and the results of real data demonstrate the effectiveness of it.
机译:机动目标的逆合成孔径雷达(ISAR)成像是雷达信号处理领域的一项艰巨任务。经平移补偿后,方位回波可以表征为多分量多项式相位信号(PPS),结合距离-瞬时多普勒(RID)技术,通过对其参数进行估计,可以获得高质量的ISAR图像。提出了一种基于改进的离散多项式相位变换(MDPT)的三阶多分量PPS参数估计算法,并提出了相应的ISAR成像算法。该算法高效,准确,可生成聚焦的ISAR图像,真实数据的结果证明了其有效性。

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