Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Wideband Synthetic Aperture Test Bed for Intelligent Reflecting Surfaces

Published

Author(s)

Peter Vouras, Mohamed Hany, Sudantha Perera, Carnot Nogueira, Rick Candell, Kate Remley

Abstract

This paper describes a spherical beamforming implementation for wideband synthetic aperture channel sounders that can be used to predict the scattering performance of an Intelligent Reflection Surface (IRS). An IRS creates controlled propagation conditions in wireless channels that can amplify the signal power available at a receiver or can enhance communications security by reducing the signal leaking to an eavesdropper. Most IRS performance evaluations described in the technical literature to date rely on simulation and modeling approaches. These techniques necessarily produce idealized results that neglect the impact of real-world multipath. However, by incorporating wireless channel measurements taken by a synthetic aperture into a spherical beamforming framework, the detrimental effects of environmental multipath on the signal reflected from an IRS can be realistically accounted for.
Proceedings Title
Asilomar Conference on Signals, Systems, and Computers
Conference Dates
October 30-November 2, 2022
Conference Location
Pacific Grove, CA, US

Citation

Vouras, P. , Hany, M. , Perera, S. , Nogueira, C. , Candell, R. and Remley, K. (2023), Wideband Synthetic Aperture Test Bed for Intelligent Reflecting Surfaces, Asilomar Conference on Signals, Systems, and Computers , Pacific Grove, CA, US, [online], https://doi.org/10.1109/IEEECONF56349.2022.10052087, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935743 (Accessed June 19, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created March 7, 2023, Updated March 23, 2023