FDTD-based multipath exploitation for through-wall radar imaging in the framework of CS

Fangfang Wang, Huiying Wu
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Abstract

Multipath exploitation for through-wall radar imaging (TWRI) under the framework of compressive sensing (CS) is a promising method to obtain a high-resolution image with limited number of measurements. The capability of the existing method is limited due to the model error caused by approximated dictionary matrix calculated using ray optics method. In this paper, multipath propagation is calculated by finite-difference time domain (FDTD) technique and then compensated to obtain the linear inverse model correctly. Afterwards, sparse reconstruction is used to solve this linear inverse problem. Numerical results demonstrate that the proposed approach yields high resolution image free of multipath ghosts, thus allowing to increase the signal-to-clutter ratio image.
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CS框架下基于fdtd的穿壁雷达成像多径开发
压缩感知(CS)框架下的穿壁雷达成像(TWRI)多路径开发是一种很有前途的方法,可以在有限的测量次数下获得高分辨率图像。现有方法由于采用射线光学方法计算的近似字典矩阵会产生模型误差,限制了现有方法的能力。本文采用时域有限差分(FDTD)技术计算多径传播,然后进行补偿,得到正确的线性逆模型。然后,利用稀疏重构方法求解该线性逆问题。数值结果表明,该方法可获得无多径鬼影的高分辨率图像,从而提高图像的信杂比。
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