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Inverse synthetic aperture radar imaging of nonuniformly rotating target via time-weighting azimuth focusing method

机译:通过时间加权方位角聚焦方法反向合成孔径雷达成像非均匀旋转目标

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Inverse Synthetic Aperture Radar (ISAR) imaging of the nonuniformly rotating target (NURT) is a very common case in practical applications. In this case, the Doppler frequency in cross-range domain of the received signal is time-varying because of the complex rotational movement, thus the frequency spectrum obtained by Fourier transform is broadened. Therefore, the traditional Range-Doppler (RD) processing is no longer appropriate for the azimuth focusing. The Fractional Fourier transform (FrFT) is also invalid because of the different fractional order of the signal components. Approaches based on time-frequency analysis can effectively solve the imaging blurring problem, however, the computational complexity increases significantly. In this paper, a novel approach for ISAR imaging of the NURT via Time-Weighting Azimuth Focusing (TWAF) method is proposed. It employs the differential property of the Fourier transform, which makes the cross-range profiles of the echo signal to be better focused. Furthermore, it yields extremely low computational complexity, and no rotational motion compensation (MOCOMP) is required. Simulation results validate the effectiveness of the proposed method on ISAR image deblurring.
机译:逆合孔径雷达(ISAR)成像的非均匀旋转目标(NURT)是实际应用中的一个非常常见的情况。在这种情况下,由于复旋转运动的跨距离,所接收信号的跨范围域中的多普勒频率是时变的,因此通过傅里叶变换获得的频谱变宽。因此,传统的范围 - 多普勒(RD)处理不再适用于方位角聚焦。由于信号分量的不同分数顺序,分数傅立叶变换(FRFT)也是无效的。基于时频分析的方法可以有效解决成像模糊问题,然而,计算复杂性显着增加。本文提出了一种通过时间加权方位角聚焦(TWAF)方法的NERT ISAR成像的新方法。它采用傅里叶变换的差异属性,这使得回声信号的跨范围轮廓更好地聚焦。此外,它产生极低的计算复杂性,并且不需要旋转运动补偿(MOC组)。仿真结果验证了所提出的方法对ISAR图像去纹理的有效性。

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