Radar data analysis and rain modelling software
In satellite and terrestrial telecommunication links, it has been known that rainfall causes attenuation to these communication links which causes signal levels to be degraded thus affecting the link performance. Therefore, to ensure reliability of communication in a tropical climate like Singapore,...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/17823 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-17823 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-178232023-07-07T17:20:21Z Radar data analysis and rain modelling software Yeo, Shawn Qing Wen. Lee Yee Hui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Satellite telecommunication In satellite and terrestrial telecommunication links, it has been known that rainfall causes attenuation to these communication links which causes signal levels to be degraded thus affecting the link performance. Therefore, to ensure reliability of communication in a tropical climate like Singapore, the study of the effect of rainfall on communication systems is extremely important. The aim of this project is to develop a 3-dimensional rainfall rate visualization model using Interactive Data Language (IDL) software to visualise the radar data gathered from the Meteorological Service of Singapore (MSS). This is to allow the calculation of attenuation due to rainfall along a slant path in 3-dimensional space. This is an upgrade from the previous program which was created using MatLab but in terms of processing and displaying the data, it took too much time. It could not also calculate the attenuation caused by rainfall for a slant path. Bachelor of Engineering 2009-06-15T03:34:49Z 2009-06-15T03:34:49Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17823 en Nanyang Technological University 53 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering::Satellite telecommunication |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering::Satellite telecommunication Yeo, Shawn Qing Wen. Radar data analysis and rain modelling software |
description |
In satellite and terrestrial telecommunication links, it has been known that rainfall causes attenuation to these communication links which causes signal levels to be degraded thus affecting the link performance. Therefore, to ensure reliability of communication in a tropical climate like Singapore, the study of the effect of rainfall on communication systems is extremely important.
The aim of this project is to develop a 3-dimensional rainfall rate visualization model using Interactive Data Language (IDL) software to visualise the radar data gathered from the Meteorological Service of Singapore (MSS). This is to allow the calculation of attenuation due to rainfall along a slant path in 3-dimensional space. This is an upgrade from the previous program which was created using MatLab but in terms of processing and displaying the data, it took too much time. It could not also calculate the attenuation caused by rainfall for a slant path. |
author2 |
Lee Yee Hui |
author_facet |
Lee Yee Hui Yeo, Shawn Qing Wen. |
format |
Final Year Project |
author |
Yeo, Shawn Qing Wen. |
author_sort |
Yeo, Shawn Qing Wen. |
title |
Radar data analysis and rain modelling software |
title_short |
Radar data analysis and rain modelling software |
title_full |
Radar data analysis and rain modelling software |
title_fullStr |
Radar data analysis and rain modelling software |
title_full_unstemmed |
Radar data analysis and rain modelling software |
title_sort |
radar data analysis and rain modelling software |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/17823 |
_version_ |
1772826299858944000 |