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Analytical rigid body reconstruction after micro-Doppler removal

机译:微多普勒去除后的刚体分析

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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统计的方法,用于在ISAR / SAR成像中成功地去除和重建刚体的微多普勒效应。在微多普勒去除过程中,与刚体相对应的部分短时傅立叶变换样本也被消除了。另一方面,基于剩余的短时傅立叶变换样本,重构刚体的傅立叶变换。如果对应于刚体的所有样本均未更改,则通过此重构将获得一个与原始傅里叶变换相同的高度集中的峰。但是,由于删除了短时傅立叶变换的样本,在此峰值周围扩展的许多不需要的低浓度分量也将出现在重构的傅立叶变换中。在本文中,我们提出了一种用于解析重建对应于刚体的短时傅立叶变换样本的解析程序。所提出的过程导致了高度集中的傅里叶变换(ISAR / SAR图像),该傅里叶变换是通过对随时间推移求和的短时傅里叶变换进行累加而获得的,该短时傅里叶变换填充了与刚体相关的样本丢失的估计。

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