Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob

The purpose of this project is to determine multipath error by using GPS dual frequency data, LI and L2. The RTNEX (Receiver Independent Exchange) data from six MASS (Malaysia Active GPS System) stations are acquired from DSMM (Department of Survey and Mapping Malaysia) for analysis purposes. The st...

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Main Author:	Azwan Yaacob, Ahmad Azizul
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Global Positioning System Rain and rainfall
Online Access:	https://ir.uitm.edu.my/id/eprint/68866/1/68866.pdf
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id	my-uitm-ir.68866
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spelling	my-uitm-ir.688662023-01-05T04:08:22Z Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob 2013 Azwan Yaacob, Ahmad Azizul Global Positioning System Rain and rainfall The purpose of this project is to determine multipath error by using GPS dual frequency data, LI and L2. The RTNEX (Receiver Independent Exchange) data from six MASS (Malaysia Active GPS System) stations are acquired from DSMM (Department of Survey and Mapping Malaysia) for analysis purposes. The stations are BEHR, BINT, KUAN, LABU, USMP and UTMJ. The analysis for this project divided by three categories, namely analysis on surrounding area of MASS station, analysis on satellite track and analysis on rainfall effect. For analysis on surrounding area, all RTNEX data from six stations were used, while for analysis on satellite track, RTNEX data from BINT station and LABU station were used, and for analysis on rainfall, RTNEX data from KUAN station and UTMJ station were used based on data of rainfall from MMD (Malaysian Meteorological Department). TEQC (Translating, Editing, Quality Check) software were used to extract the RTNEX data and generate several file such as MP1 (multipath carrier LI), MP2 (multipath carrier L2) and report file for analysis purpose. MATLAB software were used for plotting graph to perceive the value of multipath for each analysis. The result from analysis on surrounding area obtained, shows the residential area and urban area has highest value of multipath error and open area has lowest value of multipath error, while the result from analysis on satellite track obtained, and shows satellite track farthest from MASS station has highest value of multipath error, and satellite track nearest to MASS station has lowest value of multipath error. The result from analysis on rainfall shows the value of multipath error not influenced by reading of rainfall. Based on the result from all analysis in this project, that will contribute in enhancing the efficiency of data transmission process. 2013 Thesis https://ir.uitm.edu.my/id/eprint/68866/ https://ir.uitm.edu.my/id/eprint/68866/1/68866.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Jusoh, Mohamad Huzaimy
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jusoh, Mohamad Huzaimy
topic	Global Positioning System Rain and rainfall
spellingShingle	Global Positioning System Rain and rainfall Azwan Yaacob, Ahmad Azizul Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob
description	The purpose of this project is to determine multipath error by using GPS dual frequency data, LI and L2. The RTNEX (Receiver Independent Exchange) data from six MASS (Malaysia Active GPS System) stations are acquired from DSMM (Department of Survey and Mapping Malaysia) for analysis purposes. The stations are BEHR, BINT, KUAN, LABU, USMP and UTMJ. The analysis for this project divided by three categories, namely analysis on surrounding area of MASS station, analysis on satellite track and analysis on rainfall effect. For analysis on surrounding area, all RTNEX data from six stations were used, while for analysis on satellite track, RTNEX data from BINT station and LABU station were used, and for analysis on rainfall, RTNEX data from KUAN station and UTMJ station were used based on data of rainfall from MMD (Malaysian Meteorological Department). TEQC (Translating, Editing, Quality Check) software were used to extract the RTNEX data and generate several file such as MP1 (multipath carrier LI), MP2 (multipath carrier L2) and report file for analysis purpose. MATLAB software were used for plotting graph to perceive the value of multipath for each analysis. The result from analysis on surrounding area obtained, shows the residential area and urban area has highest value of multipath error and open area has lowest value of multipath error, while the result from analysis on satellite track obtained, and shows satellite track farthest from MASS station has highest value of multipath error, and satellite track nearest to MASS station has lowest value of multipath error. The result from analysis on rainfall shows the value of multipath error not influenced by reading of rainfall. Based on the result from all analysis in this project, that will contribute in enhancing the efficiency of data transmission process.
format	Thesis
qualification_level	Bachelor degree
author	Azwan Yaacob, Ahmad Azizul
author_facet	Azwan Yaacob, Ahmad Azizul
author_sort	Azwan Yaacob, Ahmad Azizul
title	Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob
title_short	Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob
title_full	Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob
title_fullStr	Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob
title_full_unstemmed	Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob
title_sort	determination of multipath error by using gps dual frequency data / ahmad azizul azwan yaacob
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/68866/1/68866.pdf
_version_	1783735817272819712

Determination of multipath error by using GPS dual frequency data / Ahmad Azizul Azwan Yaacob

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