Frequency and Polarization-Diversified Linear Sampling Methods for Microwave Tomography and Remote Sensing Using Electromagnetic Metamaterials

Electronics

Mohammadreza Eskandari¹  Chung-Tse Michael Wu²  Mehdi Salarkaleji³  Jimmy Ching-Ming Chen⁴ 

[1] Department of Electrical and Computer Engineering, Isfahan university of Technology, Isfahan 8415683111, Iran;Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854, USA;Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA;Division of Engineering Technology, Wayne State University, Detroit, MI 48202, USA;

关键词: inverse scattering;    leaky wave antenna;    linear sampling method;    metamaterial;    microwave tomography;    polarization;    remote sensing;   

DOI  :  10.3390/electronics6040085

来源: DOAJ

【 摘 要 】

Metamaterial leaky wave antennas (MTM-LWAs), one kind of frequency scanning antennas, exhibit frequency-space mapping characteristics that can be utilized to obtain a sufficient field of view (FOV) and reconstruct shapes in both remote sensing and microwave imaging. In this article, we utilize MTM-LWAs to conduct a spectrally encoded three-dimensional (3D) microwave tomography and remote sensing that can reconstruct conductive targets with various dimensions. In this novel imaging technique, we employ the linear sampling method (LSM) as a powerful and fast reconstruction approach. Unlike the traditional LSM using only one single frequency to illuminate a fixed direction, the proposed method utilizes a frequency scanning MTM antenna array able to accomplish frequency-space mapping over the targeted 3D background that includes unknown objects. In addition, a novel technique based on a frequency and polarization hybrid method is proposed to improve the shape reconstruction resolution and stability in ill-posed inverse problems. Both simulation and experimental results demonstrate the unique advantages of the proposed LSM using MTM-LWAs with frequency and polarization diversity as an efficient 3D remote sensing and tomography scheme.

【 授权许可】

Unknown