Analytical rigid body reconstruction after micro-Doppler removal

V. Popovic, Filip Radenovic, L. Stanković
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Abstract

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.
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微多普勒去除后分析刚体重建
最近,提出了一种基于l统计量的方法,用于ISAR/SAR成像中刚体的微多普勒效应去除和重建。在微多普勒去除过程中,也消除了刚体对应的部分短时傅里叶变换样本。另一方面,基于剩余的短时傅里叶变换样本重构刚体的傅里叶变换。如果刚体对应的所有样本不变,重构得到一个与原始傅里叶变换相同的高度集中的峰值。然而,由于短时傅里叶变换的样本被去除,在重建的傅里叶变换中也会出现一些散布在该峰值周围的不希望的低浓度分量。在本文中,我们提出了一种对刚体对应的被移除的短时傅里叶变换样本进行解析重建的方法。该方法通过对缺失刚体相关样本的估计填充的短时傅里叶变换随时间求和,得到高度集中的傅里叶变换(ISAR/SAR图像)。
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