COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING

COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING

In this research, the author perform sensitivity test to TurboEdit algorithm, forward and backward moving window averaging (FBMWA), and second-order time difference phase ionospheric residual (STPIR) using three different conditions of data acquisition, during normal condition, geomagnetic storm con...

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Main Author: Resa Adam Gunawan (NIM : 15113055), R
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/24115
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:24115
spelling id-itb.:241152017-10-09T10:51:12ZCOMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING Resa Adam Gunawan (NIM : 15113055), R Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/24115 In this research, the author perform sensitivity test to TurboEdit algorithm, forward and backward moving window averaging (FBMWA), and second-order time difference phase ionospheric residual (STPIR) using three different conditions of data acquisition, during normal condition, geomagnetic storm condition, and the peak of solar cycle 24. Combination of FBMWA and STPIR can uniquely determine the cycle slips in each frequency, and then they are used to repair the cycle slips. The results show that when the noise is high, TurboEdit algorithm fails to detect small cycle slips. Also, in this sensitivity test, FBMWA-STPIR can succesfully detect all the cycle slips. However, after performing re-detection to the repaired data, there are some unrepaired cycle slips especially when the peak of solar cycle 24 data. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description In this research, the author perform sensitivity test to TurboEdit algorithm, forward and backward moving window averaging (FBMWA), and second-order time difference phase ionospheric residual (STPIR) using three different conditions of data acquisition, during normal condition, geomagnetic storm condition, and the peak of solar cycle 24. Combination of FBMWA and STPIR can uniquely determine the cycle slips in each frequency, and then they are used to repair the cycle slips. The results show that when the noise is high, TurboEdit algorithm fails to detect small cycle slips. Also, in this sensitivity test, FBMWA-STPIR can succesfully detect all the cycle slips. However, after performing re-detection to the repaired data, there are some unrepaired cycle slips especially when the peak of solar cycle 24 data.
format Final Project
author Resa Adam Gunawan (NIM : 15113055), R
spellingShingle Resa Adam Gunawan (NIM : 15113055), R
COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING
author_facet Resa Adam Gunawan (NIM : 15113055), R
author_sort Resa Adam Gunawan (NIM : 15113055), R
title COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING
title_short COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING
title_full COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING
title_fullStr COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING
title_full_unstemmed COMPARISON OF CYCLE SLIP DETECTION METHODS FOR GNSS PRECISE POINT POSITIONING
title_sort comparison of cycle slip detection methods for gnss precise point positioning
url https://digilib.itb.ac.id/gdl/view/24115
_version_ 1822921121139261440

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