hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Performance analysis of meta-material based bow-tie shaped fractal antenna for THz application
Department of ECE, ASET, Amity University Uttar Pradesh, Noida, India.
Department of ECE, ASET, Amity University Uttar Pradesh, Noida, India.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
Department of ECE, ASET, Amity University Uttar Pradesh, Noida, India.
Show others and affiliations
2017 (English)In: 2017 7th International Conference on Cloud Computing, Data Science Engineering - Confluence, IEEE, 2017, 764-769 p.Conference paper (Refereed)
Abstract [en]

This paper presents design and analysis of meta-material based bowtie-shaped fractal antenna for the frequency range of l.l-l.8 THz for futuristic Terahertz applications. A meta-material-inspired structure isinserted on ground plane to enhance overall performance of the proposed design. A comparative analysis of various iterated designs has been carried out in detail. Performance parameters e.g. return loss, antenna gain, radiation efficiency, radiation pattern are presented and discussed. Simulated resultsshow the multiband nature of designed antennas. Maximum gain of 6.59 dB and return loss of −21.00 dB are obtained at 1.5455 THz and 1.1787 THz respectively. HFSS simulation software is used for simulation of the designs.

Place, publisher, year, edition, pages
IEEE, 2017. 764-769 p.
Keyword [en]
Antenna radiation patterns, Bandwidth, Fractal antennas, Gain, Imaging, Substrates, Bowtie Antenna, Fractal Antenna, Meta-material, Multiband, Return Loss, Tera Hertz (THZ) Antenna
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hig:diva-24241DOI: 10.1109/CONFLUENCE.2017.7943253ISBN: 978-1-5090-3519-9 (electronic)OAI: oai:DiVA.org:hig-24241DiVA: diva2:1109963
Conference
7th International Conference on Cloud Computing, Data Science Engineering - Confluence, Noida, India, 12-13 January 2017
Available from: 2017-06-15 Created: 2017-06-15 Last updated: 2017-06-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Rönnow, Daniel
By organisation
Electronics
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 5 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf