Compressive sensing imaging through a drywall barrier at sub-THz and THz frequencies in transmission and reflection modes

Taylan Takan; Vedat A. Özkan; Fırat İdikut; Ihsan Ozan Yildirim; Asaf Behzat Şahin; Hakan Altan

doi:10.1117/12.2066835

15 October 2014 Compressive sensing imaging through a drywall barrier at sub-THz and THz frequencies in transmission and reflection modes

Taylan Takan, Vedat A. Özkan, Fırat İdikut, Ihsan Ozan Yildirim, Asaf Behzat Şahin, Hakan Altan

Author Affiliations +

Proceedings Volume 9244, Image and Signal Processing for Remote Sensing XX; 92441N (2014) https://doi.org/10.1117/12.2066835
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

In this work sub-terahertz imaging using Compressive Sensing (CS) techniques for targets placed behind a visibly opaque barrier is demonstrated both experimentally and theoretically. Using a multiplied Schottky diode based millimeter wave source working at 118 GHz, metal cutout targets were illuminated in both reflection and transmission configurations with and without barriers which were made out of drywall. In both modes the image is spatially discretized using laser machined, 10 × 10 pixel metal apertures to demonstrate the technique of compressive sensing. The images were collected by modulating the source and measuring the transmitted flux through the apertures using a Golay cell. Experimental results were compared to simulations of the expected transmission through the metal apertures. Image quality decreases as expected when going from the non-obscured transmission case to the obscured transmission case and finally to the obscured reflection case. However, in all instances the image appears below the Nyquist rate which demonstrates that this technique is a viable option for Through the Wall Reflection Imaging (TWRI) applications.

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Taylan Takan, Vedat A. Özkan, Fırat İdikut, Ihsan Ozan Yildirim, Asaf Behzat Şahin, and Hakan Altan "Compressive sensing imaging through a drywall barrier at sub-THz and THz frequencies in transmission and reflection modes", Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92441N (15 October 2014); https://doi.org/10.1117/12.2066835

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