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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >A Linear Inverse Scattering Algorithm for Radar Imaging in Multipath Environments
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A Linear Inverse Scattering Algorithm for Radar Imaging in Multipath Environments

机译：多径环境下雷达成像的线性逆散射算法

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摘要

This letter deals with the electromagnetic imaging in the presence of multipath propagation of interest for through-wall and urban sensing scenarios. The 2-D tomographic approach here presented combines a linear inverse scattering model, based on the Kirchhoff approximation, with the finite-difference time-domain (FDTD) technique. In particular, FDTD is exploited to evaluate the incident field and Green's function in noncanonical scenarios, so that the kernel of the linear integral equation is completely built. After, an inversion scheme based on the truncated singular value decomposition is applied to obtain a regularized solution of the problem. Numerical results demonstrate that the proposed approach yields well-focused images free of multipath ghosts, thus allowing to discriminate the actual target position. Moreover, it permits to highlight the capabilities offered by multipath exploitation such as improved crossrange resolution and detection of targets in the non-line-of-sight region of the radar.
机译：这封信涉及在穿墙和城市传感场景中存在感兴趣的多径传播的情况下的电磁成像。这里介绍的二维断层扫描方法结合了基于Kirchhoff近似的线性逆散射模型和时域有限差分（FDTD）技术。特别地，FDTD被用于评估非典型情况下的入射场和格林函数，从而完全建立了线性积分方程的核。之后，基于截断的奇异值分解的反演方案被应用以获得问题的正则解。数值结果表明，所提出的方法可产生聚焦良好的图像，而没有多路径重影，从而可以区分实际目标位置。此外，它还可以突出显示多路径开发所提供的功能，例如改进的跨范围分辨率以及在雷达非视线区域中检测目标的能力。

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