Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces

Panagiotis C. Theofanopoulos; Georgios C. Trichopoulos

doi:10.1109/IEEECONF35879.2020.9329753

Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces

Panagiotis C. Theofanopoulos, Georgios C. Trichopoulos

Electrical, Computer, and Energy Engineering, School of (IAFSE-ECEE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

We present a method for the reduction of quantization lobes in single/multi-bit reconfigurable reflective surfaces (e.g. reflectarrays and large intelligent surfaces). As such, we introduce random physical phase delays on each antenna element of the reflective surface, thus randomizing quantization errors, decreasing the level of the undesired quantization lobes. In this work, we explain our method and present results of a proof-of-concept 275 GHz linear 1-bit reconfigurable reflective surface. Finally, leveraging the proposed method, we achieve a reduction of quantization lobes up to 10 dB for single-bit configurations.

Original language	English (US)
Title of host publication	2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1717-1718
Number of pages	2
ISBN (Electronic)	9781728166704
DOIs	https://doi.org/10.1109/IEEECONF35879.2020.9329753
State	Published - Jul 5 2020
Event	2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Virtually, Toronto, Canada Duration: Jul 5 2020 → Jul 10 2020

Publication series

Name	2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings

Conference

Conference	2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020
Country/Territory	Canada
City	Virtually, Toronto
Period	7/5/20 → 7/10/20

Keywords

Reflect
antenna
arrays
lobes
quantization
theory

ASJC Scopus subject areas

Computer Networks and Communications
Instrumentation

Access to Document

10.1109/IEEECONF35879.2020.9329753

Cite this

Theofanopoulos, P. C., & Trichopoulos, G. C. (2020). Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces. In 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings (pp. 1717-1718). Article 9329753 (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEECONF35879.2020.9329753

Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces. / Theofanopoulos, Panagiotis C.; Trichopoulos, Georgios C.
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1717-1718 9329753 (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Theofanopoulos, PC & Trichopoulos, GC 2020, Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces. in 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings., 9329753, 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1717-1718, 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020, Virtually, Toronto, Canada, 7/5/20. https://doi.org/10.1109/IEEECONF35879.2020.9329753

Theofanopoulos PC, Trichopoulos GC. Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces. In 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1717-1718. 9329753. (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings). doi: 10.1109/IEEECONF35879.2020.9329753

Theofanopoulos, Panagiotis C. ; Trichopoulos, Georgios C. / Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces. 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1717-1718 (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings).

@inproceedings{922a6ce4f24d4cb5a05cbee122e2ba5b,

title = "Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces",

abstract = "We present a method for the reduction of quantization lobes in single/multi-bit reconfigurable reflective surfaces (e.g. reflectarrays and large intelligent surfaces). As such, we introduce random physical phase delays on each antenna element of the reflective surface, thus randomizing quantization errors, decreasing the level of the undesired quantization lobes. In this work, we explain our method and present results of a proof-of-concept 275 GHz linear 1-bit reconfigurable reflective surface. Finally, leveraging the proposed method, we achieve a reduction of quantization lobes up to 10 dB for single-bit configurations.",

keywords = "Reflect, antenna, arrays, lobes, quantization, theory",

author = "Theofanopoulos, {Panagiotis C.} and Trichopoulos, {Georgios C.}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 ; Conference date: 05-07-2020 Through 10-07-2020",

year = "2020",

month = jul,

day = "5",

doi = "10.1109/IEEECONF35879.2020.9329753",

language = "English (US)",

series = "2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1717--1718",

booktitle = "2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings",

}

TY - GEN

T1 - Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces

AU - Theofanopoulos, Panagiotis C.

AU - Trichopoulos, Georgios C.

PY - 2020/7/5

Y1 - 2020/7/5

N2 - We present a method for the reduction of quantization lobes in single/multi-bit reconfigurable reflective surfaces (e.g. reflectarrays and large intelligent surfaces). As such, we introduce random physical phase delays on each antenna element of the reflective surface, thus randomizing quantization errors, decreasing the level of the undesired quantization lobes. In this work, we explain our method and present results of a proof-of-concept 275 GHz linear 1-bit reconfigurable reflective surface. Finally, leveraging the proposed method, we achieve a reduction of quantization lobes up to 10 dB for single-bit configurations.

AB - We present a method for the reduction of quantization lobes in single/multi-bit reconfigurable reflective surfaces (e.g. reflectarrays and large intelligent surfaces). As such, we introduce random physical phase delays on each antenna element of the reflective surface, thus randomizing quantization errors, decreasing the level of the undesired quantization lobes. In this work, we explain our method and present results of a proof-of-concept 275 GHz linear 1-bit reconfigurable reflective surface. Finally, leveraging the proposed method, we achieve a reduction of quantization lobes up to 10 dB for single-bit configurations.

KW - Reflect

KW - antenna

KW - arrays

KW - lobes

KW - quantization

KW - theory

UR - http://www.scopus.com/inward/record.url?scp=85100934986&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85100934986&partnerID=8YFLogxK

U2 - 10.1109/IEEECONF35879.2020.9329753

DO - 10.1109/IEEECONF35879.2020.9329753

M3 - Conference contribution

AN - SCOPUS:85100934986

T3 - 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings

SP - 1717

EP - 1718

BT - 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020

Y2 - 5 July 2020 through 10 July 2020

ER -

Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this