Antenna Pattern; Signal Processing; Pattern characterizations
Abstract :
[en] Sophisticated antenna technologies are constantly evolving to meet the escalating data demands projected for 6G and future networks. The characterization of these emerging antenna systems poses challenges that necessitate a reevaluation of conventional techniques, which rely solely on simple measurements conducted in advanced anechoic chambers. In this study, our objective is to introduce a novel endeavour for antenna pattern characterization (APC) in next-generation multiple-input-multiple-output (MIMO) systems by utilizing the potential of signal processing tools. In contrast to traditional methods that struggle with multi-path scenarios and require specialized equipment for measurements, we endeavour to estimate the antenna pattern by exploiting information from both line-of-sight (LoS) and non-LoS contributions. This approach enables antenna pattern characterization in complex environments without the need for anechoic chambers, resulting in substantial cost savings. Furthermore, it grants a much wider research community the ability to independently perform APC for emerging complex 6G antenna systems, without relying on anechoic chambers. Simulation results demonstrate the efficacy of the proposed novel approach in accurately estimating the true antenna pattern.
Disciplines :
Electrical & electronics engineering
Author, co-author :
SHEEMAR, Chandan Kumar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
QUEROL, Jorge ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
External co-authors :
no
Language :
English
Title :
Signal Processing Based Antenna Pattern Characterization for MIMO Systems
Publication date :
2023
Event name :
2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Event place :
Split, Hrv
Event date :
21-09-2023 => 23-09-2023
Main work title :
2023 31st International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023
Editor :
Begusic, Dinko
Publisher :
Institute of Electrical and Electronics Engineers Inc.
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