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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Micro-doppler interference removal via histogram analysis in time-frequency domain
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Micro-doppler interference removal via histogram analysis in time-frequency domain

机译：通过时频域直方图分析消除微多普勒干扰

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摘要

Micro-Doppler interference generated by mechanical vibration or rotation of a target or its parts may degrade the quality of radar images. In this paper, a method based on histogram analysis of the time-frequency distribution is proposed for enhanced radar image reconstruction with effective micro-Doppler interference removal. First, based on the different frequencies of occurrence between the micro-Doppler and rigid-body components as revealed in the time-frequency analysis, the rigid-body data contaminated by micro-Doppler components are removed at each frequency bin. Then, the full data set is restored based on the data preserved in the first step. Finally, the radar image is reconstructed by using the preserved and restored data rendered from the previous two steps. Experimental results show that compared with the recently developed L-statistics-based method, the proposed method offers better micro-Doppler interference removal capability and, thereby, enhances the reconstructed radar images with higher peak-sidelobe ratio and integrated sidelobe ratio.
机译：目标或其零件的机械振动或旋转产生的微多普勒干扰可能会降低雷达图像的质量。提出了一种基于时频分布直方图分析的方法，用于有效去除微多普勒干扰的增强雷达图像重建。首先，基于时频分析中揭示的微多普勒分量和刚体分量之间的不同出现频率，在每个频点处都删除了受微多普勒分量污染的刚体数据。然后，根据第一步中保留的数据还原完整的数据集。最后，通过使用前两个步骤提供的保留和恢复的数据来重建雷达图像。实验结果表明，与最近开发的基于L统计量的方法相比，该方法具有更好的微多普勒干扰消除能力，从而以更高的峰旁瓣比和积分旁瓣比增强了重建的雷达图像。

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