Spectrum interference for SMRT lines

This research focuses on data collection for the entire East West Line as well as the North South Line. The experiment is carried out using discone antennas and the EM200 Spectrum Monitoring system. The experimental findings indicate that the 2.4GHz Industrial, Scientific, and Medical (ISM) Frequenc...

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Main Author: Lee, Ruey Yee
Other Authors: Lee Yee Hui
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149832
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1498322023-07-07T17:49:30Z Spectrum interference for SMRT lines Lee, Ruey Yee Lee Yee Hui School of Electrical and Electronic Engineering EYHLee@ntu.edu.sg Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio This research focuses on data collection for the entire East West Line as well as the North South Line. The experiment is carried out using discone antennas and the EM200 Spectrum Monitoring system. The experimental findings indicate that the 2.4GHz Industrial, Scientific, and Medical (ISM) Frequency band has a high level of spectrum occupancy. In this ISM frequency band, which is also occupied by the Communication Train Based Control (CBTC) system, various signals such as WiFi and CCTV can be found. As a result, the CBTC system is vulnerable to disturbances from nearby signals. As a result, machine learning algorithms are being used to help understand the different signals' characteristics. In addition, Image Processing techniques are applied to the different waterfall diagrams generated by the experiments. The goal is to find and mark the existence of signals in the diagram, as well as where they appear in the picture. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-09T01:59:01Z 2021-06-09T01:59:01Z 2021 Final Year Project (FYP) Lee, R. Y. (2021). Spectrum interference for SMRT lines. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149832 https://hdl.handle.net/10356/149832 en B3118-201 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
spellingShingle Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Lee, Ruey Yee
Spectrum interference for SMRT lines
description This research focuses on data collection for the entire East West Line as well as the North South Line. The experiment is carried out using discone antennas and the EM200 Spectrum Monitoring system. The experimental findings indicate that the 2.4GHz Industrial, Scientific, and Medical (ISM) Frequency band has a high level of spectrum occupancy. In this ISM frequency band, which is also occupied by the Communication Train Based Control (CBTC) system, various signals such as WiFi and CCTV can be found. As a result, the CBTC system is vulnerable to disturbances from nearby signals. As a result, machine learning algorithms are being used to help understand the different signals' characteristics. In addition, Image Processing techniques are applied to the different waterfall diagrams generated by the experiments. The goal is to find and mark the existence of signals in the diagram, as well as where they appear in the picture.
author2 Lee Yee Hui
author_facet Lee Yee Hui
Lee, Ruey Yee
format Final Year Project
author Lee, Ruey Yee
author_sort Lee, Ruey Yee
title Spectrum interference for SMRT lines
title_short Spectrum interference for SMRT lines
title_full Spectrum interference for SMRT lines
title_fullStr Spectrum interference for SMRT lines
title_full_unstemmed Spectrum interference for SMRT lines
title_sort spectrum interference for smrt lines
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149832
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