基于FrFT-FPM的机动目标涡旋ISAR成像算法

    FrFT-FPM-Based Vortex ISAR Imaging Algorithm for Maneuvering Targets

    • 摘要: 携带轨道角动量(OAM)的涡旋电磁波(VEMW)具有独特的多模态正交特性与螺旋状波前,为新体制逆合成孔径雷达(ISAR)成像提供条件。然而,VEMW自身复杂的相位调制与目标机动产生的相位误差相互耦合,导致传统成像算法难以从回波中精确解耦目标信息。针对这一难题,本文提出一种联合分数阶傅里叶变换(FrFT)和傅里叶叠层算法(FPM)的成像方法。首先,构建涡旋ISAR机动目标成像模型并对贝塞尔函数项和方位角项进行预补偿;然后,通过FrFT对回波信号进行距离压缩,获得聚焦的距离像;最后,采用FPM算法,利用目标的强度信息,在空间域与频域交替迭代重构频谱,实现相位误差的恢复。仿真实验表明,在低信噪比及非合作机动场景下,该方法可有效恢复相位误差,获得聚焦的涡旋ISAR图像。

       

      Abstract: Vortex electromagnetic waves (VEMW) carrying orbital angular momentum (OAM) possess unique multi-modal orthogonality and helical wavefronts, providing conditions for novel inverse synthetic aperture radar (ISAR) imaging. However, the inherent complex phase modulation of VEMW coupled with phase errors induced by maneuvering targets renders conventional imaging algorithms incapable of accurately decoupling target information from echoes. To address this challenge, this paper proposes an imaging method integrating Fractional Fourier Transform (FrFT) and Fourier Ptychographic Microscopy algorithm (FPM). First, a vortex ISAR maneuvering targets imaging model is constructed with pre-compensation applied to the Bessel function term and Azimuth angle term. Subsequently, range compression is performed on the echo signal via FrFT to obtain a focused range image. Finally, the FPM algorithm utilizes targets intensity information to iteratively reconstruct the spectrum in alternating spatial and frequency domains, thereby recovering phase errors. Simulation results demonstrate that the proposed method can effectively recover phase errors and generate focused vortex ISAR images under low signal-to-noise ratio (SNR) and non-cooperative maneuvering scenarios.

       

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