Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Study of Fractal Tree Antenna for Multiband Applications

Authors
S. Khobragade, S. Nalbalwar, A. Nandgaonkar
Corresponding Author
S. Khobragade
Available Online December 2016.
DOI
10.2991/iccasp-16.2017.76How to use a DOI?
Keywords
Fractal Antenna, Fractal Tree, multi-band, ultra-wideband, miniaturization
Abstract

Present day is witnessing a very rapid growth of wireless communication, for which antenna with very large bandwidth are in strong demand, so that various application are covered with fewer or preferably with single antenna. Fractals are profoundly intricate shapes that are easy to define. Fractals are space-filling contours, electrically large features can be efficiently packed into small areas. Fractal tree structures can be utilise to enhance the performance of the antenna such as widening the frequency band while reducing the size of an antenna. This paper summarize the different kind of tree design structure, development process, current research and application of the fractal tree antenna.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/iccasp-16.2017.76
ISSN
1951-6851
DOI
10.2991/iccasp-16.2017.76How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - S. Khobragade
AU  - S. Nalbalwar
AU  - A. Nandgaonkar
PY  - 2016/12
DA  - 2016/12
TI  - Study of Fractal Tree Antenna for Multiband Applications
BT  - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 516
EP  - 523
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.76
DO  - 10.2991/iccasp-16.2017.76
ID  - Khobragade2016/12
ER  -