Experimental Verification of In-door Ground Based SAR Using Beam Space MUSIC Algorithm

Berk Omuz, Fikriye Oz, Ozgur Ozdemir, Ahmet Oncu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, a ground-based synthetic aperture radar (GB-SAR) system with a lightweight wideband antenna is developed for in-door radar imaging applications. Beamspace MUSIC algorithm is then employed to reconstruct the radar image from experimental data. We observed that the BS-MUSIC improves the resolution of the reconstruction by comparing the results with beamforming algorithms.

Original languageEnglish
Title of host publicationProceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages213-216
Number of pages4
ISBN (Electronic)9781538667620
DOIs
Publication statusPublished - 1 Nov 2018
Event20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018 - Cartagena de Indias, Colombia
Duration: 10 Sept 201814 Sept 2018

Publication series

NameProceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018

Conference

Conference20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018
Country/TerritoryColombia
CityCartagena de Indias
Period10/09/1814/09/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

This work is supported by Bogazici University Research Fund under grant 14320.

FundersFunder number
Bogazici University Research Fund14320

    Keywords

    • Beamforming
    • BS-MUSIC
    • Gb-SAR.
    • Lightweight antenna
    • Radar Imaging
    • SAR

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