Visualization of Millimeter-Wave Radio Signals Utilizing Measured Radio Channel Parameters

Sigurd Sándor Petersen, Oskar Kjul Feldstedt, Khadar Guled, Wei Fan

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

106 Downloads (Pure)

Abstract

Radio waves are invisible to humans, yet visualization of radio waves is important for many purposes. In this work, two wideband channel sounding systems, i.e. one mechanical steering horn antenna based on turntable, and the other electronic steering phased-array antennas, are developed to record radio channel parameters at millimeter-wave (mmWave) bands 28-30 GHz. The measured radio channel parameters are then used to reconstruct the mmWave radio signal trajectories. Dedicated measurements are then designed, e.g. path blocking with humans and path generation with metallic reflector, to validate the reconstructed mmWave signal trajectories. Our validation measurements demonstrate that visualization of millimeter-wave radio signal paths is feasible based on a few key channel parameters, i.e. power, delay and angle per path, which are collected by the measurement systems. This work is based on an undergraduate student project carried out in Aalborg University, Denmark.
Original languageEnglish
Title of host publication2022 IEEE Conference on Antenna Measurements and Applications (CAMA)
PublisherIEEE
Publication date2022
Article number10002610
ISBN (Print)978-1-6654-9038-2
ISBN (Electronic)978-1-6654-9037-5
DOIs
Publication statusPublished - 2022
Event2022 IEEE Conference on Antenna Measurements and Applications (CAMA) - Guangzhou, China
Duration: 14 Dec 202217 Dec 2022

Conference

Conference2022 IEEE Conference on Antenna Measurements and Applications (CAMA)
Country/TerritoryChina
CityGuangzhou
Period14/12/202217/12/2022
SeriesIEEE Conference on Antenna Measurements & Applications (CAMA)
ISSN2643-6795

Fingerprint

Dive into the research topics of 'Visualization of Millimeter-Wave Radio Signals Utilizing Measured Radio Channel Parameters'. Together they form a unique fingerprint.

Cite this