Security screening via computational imaging using frequency-diverse metasurface apertures

David R. Smith; Matthew S. Reynolds; Jonah N. Gollub; Daniel L. Marks; Mohammadreza F. Imani; Okan Yurduseven; Daniel Arnitz; Andreas Pedross-Engel; Timothy Sleasman; Parker Trofatter; Michael Boyarsky; Alec Rose; Hayrettin Odabasi; Guy Lipworth

doi:10.1117/12.2262899

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11 May 2017 Security screening via computational imaging using frequency-diverse metasurface apertures

David R. Smith, Matthew S. Reynolds, Jonah N. Gollub, Daniel L. Marks, Mohammadreza F. Imani, Okan Yurduseven, Daniel Arnitz, Andreas Pedross-Engel, Timothy Sleasman, Parker Trofatter, Michael Boyarsky, Alec Rose, Hayrettin Odabasi, Guy Lipworth

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Proceedings Volume 10189, Passive and Active Millimeter-Wave Imaging XX; 101890B (2017) https://doi.org/10.1117/12.2262899
Event: SPIE Defense + Security, 2017, Anaheim, California, United States

Abstract

Computational imaging is a proven strategy for obtaining high-quality images with fast acquisition rates and simpler hardware. Metasurfaces provide exquisite control over electromagnetic fields, enabling the radiated field to be molded into unique patterns. The fusion of these two concepts can bring about revolutionary advances in the design of imaging systems for security screening. In the context of computational imaging, each field pattern serves as a single measurement of a scene; imaging a scene can then be interpreted as estimating the reflectivity distribution of a target from a set of measurements. As with any computational imaging system, the key challenge is to arrive at a minimal set of measurements from which a diffraction-limited image can be resolved. Here, we show that the information content of a frequency-diverse metasurface aperture can be maximized by design, and used to construct a complete millimeter-wave imaging system spanning a 2 m by 2 m area, consisting of 96 metasurfaces, capable of producing diffraction-limited images of human-scale targets. The metasurfacebased frequency-diverse system presented in this work represents an inexpensive, but tremendously flexible alternative to traditional hardware paradigms, offering the possibility of low-cost, real-time, and ubiquitous screening platforms.

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David R. Smith, Matthew S. Reynolds, Jonah N. Gollub, Daniel L. Marks, Mohammadreza F. Imani, Okan Yurduseven, Daniel Arnitz, Andreas Pedross-Engel, Timothy Sleasman, Parker Trofatter, Michael Boyarsky, Alec Rose, Hayrettin Odabasi, and Guy Lipworth "Security screening via computational imaging using frequency-diverse metasurface apertures", Proc. SPIE 10189, Passive and Active Millimeter-Wave Imaging XX, 101890B (11 May 2017); https://doi.org/10.1117/12.2262899

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