195
Views
3
CrossRef citations to date
0
Altmetric
Articles

Multi-resonant Bowtie Antenna with Modified Symmetric SRR for Wireless Applications

, &
Pages 77-84 | Published online: 13 Jun 2018
 

Abstract

A modified symmetric split ring resonator (MSSRR) loaded bowtie antenna with multi-band features over a range of 1.6–7.1 GHz is proposed in this paper. The antenna is designed on FR4 substrate with relative permittivity εr = 4.1 and thickness 1.5 mm. The fabricated antenna size is 40 mm × 58 mm. The Modified Symmetric SRR used beneath the substrate is novel and consists of two circles that are broken into four quarter circles by four rods. The effect of MSSRR location and its geometry is investigated and analysed thoroughly. The measurement results of the fabricated antenna are in good agreement with the simulation results, which confirms the proposed antenna design’s properties. ANSYS High Frequency Structural Simulator (HFSS) software is used for simulating the antenna.

Additional information

Notes on contributors

Rajesh Kumar

Rajesh Kumar did his BTech and MTech in electronics and communication engineering in 2007 and 2011 respectively. He is currently working towards his PhD degree in meta-material antennas with interests in RF devices and antennas. He has worked as an assistant professor in different engineering colleges. He has also worked as a visiting scientist at University of Gavle, Sweden during May–June 2015.

Malay Ranjan Tripathy

Malay Ranjan Tripathy is a PhD from the Department of Electronic Science, Delhi University, Delhi, India, since 2000. He worked as a postdoctoral researcher at LPCE, CNRS, Orleans, France, for two years. Apart from this, he has worked as faculty in different engineering colleges in and around Delhi, India. Currently, he is working as Professor in Electronics and Communication Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. He has organized and chaired sessions in PIERS 2014 at Guangzhou, China, PIERS 2015 at Prague, Czech Republic and PIERS 2016 at Shanghai, China. He has worked as visiting scientist at the University of Gavle, Sweden during May–June 2015 and June–July 2016. Present research interest includes antennas, RF devices, and physical layers. Email: [email protected]

Daniel Ronnow

Daniel Rönnow received the MSc degree in engineering physics and PhD degree in solid-state physics from Uppsala University, Uppsala, Sweden, in 1991 and 1996, respectively. From 1996 to 1998, he was with the Max-Planck-Institut für Festkörperforschung, Stuttgart, Germany, where he was involved with semiconductor physics. From 1998 to 2000, he was with Acreo AB, Stockholm, Sweden, where he was involved with infrared sensors and systems. From 2000 to 2004, he was a technical consultant and the Head of Research with Racomna AB, Uppsala, Sweden, where he was involved with PA linearization and “smart” materials for microwave applications. From 2004 to 2006, he was a university lecturer with the University of Gävle, Gävle, Sweden. From 2006 to 2011, he was a Senior Sensor Engineer with Westerngeco, Oslo, Norway, where he was involved with signal processing and seismic sensors. In 2011, he became a professor of electronics with the University of Gävle. Since 2000, he has been an associate professor at Uppsala University. He has authored or coauthored over 50 peer-reviewed papers. He holds 10 patents. His current research interests are RF measurement techniques, linearization of nonlinear RF circuits and systems, and electromagnetic materials. Email: [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 100.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.