Passive microwave spectral imaging with dynamic metasurface apertures

Abstract

Passive microwave imaging of incoherent sources is often approached in a lensless configuration through array-based interferometric processing. We present an alternative route in the form of a coded aperture realized using a dynamic metasurface. We demonstrate that this device can achieve an estimate of the spectral source distribution from a series of single-port spectral magnitude measurements and complex characterization of the modulation patterns. The image estimation problem is formulated in this case as compressive inversion of a set of standard linear matrix equations. In addition, we demonstrate that a dispersive metasurface design can achieve spectral encoding directly, offering the potential for spectral imaging from frequency-integrated, multiplexed measurements. The microwave dynamic metasurface aperture as an encoding structure is shown to comprise a substantially simplified hardware architecture than that employed in common passive microwave imaging systems. Our proposed technique can facilitate large scale microwave imaging applications that exploit pervasive ambient sources, while similar principles can readily be applied at terahertz, infrared, and optical frequencies.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 13, 2020
Source ID
10.1364/optica.386516

Entities

People

  • Aaron V. Diebold
  • Daniel L. Marks
  • David R. Smith
  • Mohammadreza F Imani
  • Thomas Fromentèze

Organizations

  • Air Force Office of Scientific Research

Tags

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Microwave Engineering.
  • Theoretical Analysis.