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Analytical rigid body reconstruction after micro-Doppler removal

机译:微多普勒去除后的分析刚体重建

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Recently, an L-statistics based method for a successful micro-Doppler effects removal and reconstruction of the rigid body in the ISAR/SAR imaging has been proposed. During the procedure of the micro-Doppler removal, a part of the short-time Fourier transform samples that correspond to the rigid body is eliminated, as well. On the other hand, the Fourier transform of a rigid body is reconstructed based on the remaining short-time Fourier transform samples. If all the samples corresponding to the rigid body are unchanged, one highly concentrated peak as in the original Fourier transform would be obtained by this reconstruction. However, due to the removed samples of the short time Fourier transform, a number of undesired low-concentrated components spread around this peak will appear in the reconstructed Fourier transform, as well. In this paper, we propose a procedure for analytical reconstruction of the removed short-time Fourier transform samples that correspond to the rigid body. The proposed procedure leads to a highly concentrated Fourier transform (ISAR/SAR image) obtained by summing over time the resulting short-time Fourier transform filled up with the estimation of the missing rigid body related samples.
机译:近来,已经提出了一种基于L算法的用于成功的微多普勒效应去除和重建ISAR / SAR成像中的刚体的重建方法。在微多普勒移除过程中,还消除了对应于刚体的短时傅里叶变换样品的一部分。另一方面,基于剩余的短时傅里叶变换样本来重建刚体的傅里叶变换。如果对应于刚体的所有样品不变,则通过该重建获得如原始傅里叶变换中的一个高度浓度的峰值。然而,由于除了短时间傅里叶变换的除去样本,也将在该峰值周围扩展的许多不期望的低浓缩成分,也将出现在重建的傅里叶变换中。在本文中,我们提出了一种对应于刚体对应的脱落的短时傅里叶变换样本的分析重建程序。所提出的过程导致通过在随着时间的推移而获得的高度浓缩的傅里叶变换(ISAR / SAR图像),由此产生的短时傅里叶变换填充了缺失的刚体相关样品的估计。

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