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

    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

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    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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