Sparse 2D MIMO Antenna Designs using Simulated Annealing

Muge Bekar*, Christopher John Baker, Marina Gashinova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the research reported in this paper a methodology of optimizing the positions of the elements of sparse 2D MIMO array is proposed. This methodology is based on simulated annealing and has the goal of minimizing the sidelobe level (SSL) whilst keeping the beamwidth constant and consistent with the size of the virtual receive array. The computational benefits of pre-defined initial positions of the array are discussed and results are presented to illustrate performance potential.

Original languageEnglish
Title of host publication2023 20th European Radar Conference (EuRAD)
PublisherIEEE
Pages371-374
Number of pages4
ISBN (Electronic)9782874870743
ISBN (Print)9798350322460 (PoD)
DOIs
Publication statusPublished - 26 Oct 2023
Event20th European Radar Conference, EuRAD 2023 - Berlin, Germany
Duration: 20 Sept 202322 Sept 2023

Publication series

NameEuropean Radar Conference (EURAD)

Conference

Conference20th European Radar Conference, EuRAD 2023
Country/TerritoryGermany
CityBerlin
Period20/09/2322/09/23

Bibliographical note

Publisher Copyright:
© 2023 European Microwave Association (EuMA).

Keywords

  • Simulated annealing
  • sparse 2D MIMO antenna

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

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