3D printed MIMO antennas for Wifi applications
The purpose of this project is to design a Planar Inverted-F Antenna (PIFA), simulate out the 3D-Polar Plot, Radiation Pattern and Return Loss (S11) by using High Frequency Structural Simulator tool: ANSYS HFSS 16. And do fabrication once everything been done properly.
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Language: | English |
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2017
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Online Access: | http://hdl.handle.net/10356/71710 |
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Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-717102023-07-07T17:03:41Z 3D printed MIMO antennas for Wifi applications Ma, Sheng Zhuo Zhang Yue Ping School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The purpose of this project is to design a Planar Inverted-F Antenna (PIFA), simulate out the 3D-Polar Plot, Radiation Pattern and Return Loss (S11) by using High Frequency Structural Simulator tool: ANSYS HFSS 16. And do fabrication once everything been done properly. Bachelor of Engineering 2017-05-18T09:22:52Z 2017-05-18T09:22:52Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71710 en Nanyang Technological University 53 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Ma, Sheng Zhuo 3D printed MIMO antennas for Wifi applications |
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The purpose of this project is to design a Planar Inverted-F Antenna (PIFA), simulate out the 3D-Polar Plot, Radiation Pattern and Return Loss (S11) by using High Frequency Structural Simulator tool: ANSYS HFSS 16. And do fabrication once everything been done properly. |
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Zhang Yue Ping |
author_facet |
Zhang Yue Ping Ma, Sheng Zhuo |
format |
Final Year Project |
author |
Ma, Sheng Zhuo |
author_sort |
Ma, Sheng Zhuo |
title |
3D printed MIMO antennas for Wifi applications |
title_short |
3D printed MIMO antennas for Wifi applications |
title_full |
3D printed MIMO antennas for Wifi applications |
title_fullStr |
3D printed MIMO antennas for Wifi applications |
title_full_unstemmed |
3D printed MIMO antennas for Wifi applications |
title_sort |
3d printed mimo antennas for wifi applications |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/71710 |
_version_ |
1772827025407475712 |