Frequency and polarization-diversified linear sampling methods for microwave tomography and remote sensing using electromagnetic metamaterials

Mehdi Salarkaleji, Mohammadreza Eskandari, Jimmy Ching Ming Chen, Chung Tse Michael Wu

Research output: Contribution to journalReview articlepeer-review

8 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number85
JournalElectronics (Switzerland)
Volume6
Issue number4
DOIs
StatePublished - Dec 2017

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Inverse scattering
  • Leaky wave antenna
  • Linear sampling method
  • Metamaterial
  • Microwave tomography
  • Polarization
  • Remote sensing

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