Meng Qingyang, Xu Kuiwen, Shen Fazhong, Zhang Bin, Ye Dexin, Huangfu Jiangtao, Li Changzhi, Ran Lixin
Laboratory of Applied Research on Electromagnetics (ARE), Zhejiang University, Hangzhou 310027, China.
Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79424, USA.
Sensors (Basel). 2016 Jul 6;16(7):1046. doi: 10.3390/s16071046.
Microwave imaging based on inverse scattering problem has been attracting many interests in the microwave society. Among some major technical challenges, the ill-posed, multi-dimensional inversion algorithm and the complicated measurement setup are critical ones that prevent it from practical applications. In this paper, we experimentally investigate the performance of the subspace-based optimization method (SOM) for two-dimensional objects when it was applied to a setup designed for oblique incidence. Analytical, simulation, and experimental results show that, for 2D objects, neglecting the cross-polarization scattering will not cause a notable loss of information. Our method can be potentially used in practical imaging applications for 2D-like objects, such as human limbs.
基于逆散射问题的微波成像在微波领域引起了广泛关注。在一些主要技术挑战中，不适定的多维反演算法和复杂的测量装置是阻碍其实际应用的关键因素。在本文中，我们通过实验研究了基于子空间的优化方法（SOM）在应用于斜入射设计的装置时对二维物体的成像性能。分析、模拟和实验结果表明，对于二维物体，忽略交叉极化散射不会导致显著的信息损失。我们的方法有可能用于诸如人体四肢等类二维物体的实际成像应用中。
