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A comparative study of horn antennas suitable for the transmitting antenna array module of MELISSA architecture

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

    Abstract

    The MELISSA system is a ground based aperture radar that has been designed for landslide monitoring in Italy. It consists of a linear antenna array of 12 Pyramidal horn antennas present in the transmitting module of the system and another linear array of 12 receiving Vivaldi antennas. It has been proven that an alternate planar antenna array geometry of 2 × 6 pyramidal horn antennas gives a better performance than the 12 linear horns; present in the transmitting module of MELISSA; in terms of directivity, half power beam width and peak side lobe ratio. This paper aims at presenting a comparative study of peak gains and half power beam widths of various other types of individual horn antenna elements that could be used to replace the conventional pyramidal horn in the earlier proposed 2 × 6 planar configuration and thereby revise the MELISSA system.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages28-34
    Number of pages7
    ISBN (Electronic)9781509016235
    DOIs
    Publication statusPublished - 2016
    Event2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Mangalore, India
    Duration: 13-08-201614-08-2016

    Publication series

    Name2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings

    Conference

    Conference2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016
    Country/TerritoryIndia
    CityMangalore
    Period13-08-1614-08-16

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Electrical and Electronic Engineering
    • Computer Networks and Communications
    • Hardware and Architecture

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