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A Novel Method for Sparse Array Antenna Through-the-wall Imaging Radar Wall Clutter Elimination Using Independent Component Analysis

机译:一种新的稀疏阵列天线通过壁成像雷达壁杂波使用独立分析消除方法

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A wall clutter elimination method for the through-the-wall imaging radar (TWIR) with sparse array antenna is presented in this paper. Unlike the synthetic aperture radar (SAR) processing techniques, we scan the elements of the array periodically to create a range profile (RP) matrix for each transmit/receive antenna pair. Then, based on analysis of the weak fluctuation among RP signals, we apply independent component analysis (ICA) on each RP matrix to decompose the signal components and remove the wall clutter. The experimental results show that the proposed method can separate targets and wall clutter components, and improve the signal-to-clutter ratio (SCR) of final image effectively.
机译:本文提出了一种具有稀疏阵列天线的贯穿壁成像雷达(TWIR)的壁杂波消除方法。与合成孔径雷达(SAR)处理技术不同,我们周期性地扫描阵列的元件以为每个发送/接收天线对创建范围轮廓(RP)矩阵。然后,基于RP信号之间的弱波动的分析,我们在每个RP矩阵上应用独立的分量分析(ICA)来分解信号分量并去除墙壁杂波。实验结果表明,该方法可以分离目标和壁杂波组分,从而有效地提高最终图像的信号 - 杂波比(SCR)。

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