Design of microstrip antenna array and analysis of different beamforming techniques for mm-wave MIMO systems

Srikanth Kamath, Kolanupaka Sai Harsha, Dishotham, Mohammed Zihan

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

Abstract

This project work is focusing on the design and simulation of array antenna that operates in the mm wave frequency band and also analyze and implement the beamforming technique suitable for the proposed antenna design. The optimum weights calculated from the LMS Algorithm are used to excite the antenna array in ANSYS HFSS to observe the beamforming and the radiation pattern in the direction of desired signal. The obtained results were analyzed and compared with the theoretical values. The result consists of the measure of various parameters that are required to analyse the performance of an antenna like return loss, gain, directivity and bandwidth.. The antennas are implemented in ANSYS HFSS and antenna characteristics are compared based on the Return loss, VSWR, 3D polar plot and radiation pattern which are tabulated. These parameters were also observed for an 8, 16, 32, 64-element antenna array and a significant increase in gain and directivity was observed. All simulations are performed on MATLAB.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Computing Methodologies and Communication, ICCMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages828-832
Number of pages5
ISBN (Electronic)9781538678084
DOIs
Publication statusPublished - 03-2019
Event3rd International Conference on Computing Methodologies and Communication, ICCMC 2019 - Erode, India
Duration: 27-03-201929-03-2019

Publication series

NameProceedings of the 3rd International Conference on Computing Methodologies and Communication, ICCMC 2019

Conference

Conference3rd International Conference on Computing Methodologies and Communication, ICCMC 2019
Country/TerritoryIndia
CityErode
Period27-03-1929-03-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Information Systems
  • Information Systems and Management
  • Hardware and Architecture
  • Health Informatics

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