Detecting consistent patterns in pseudorange residuals in GNSS timing data

Mikko Kotilainen; Maija Mäkelä; Kalle Hanhijärvi; Martta-Kaisa Olkkonen; Anders Wallin; Thomas Fordell; Sanna Kaasalainen

doi:10.1109/ICL-GNSS57829.2023.10148921

Detecting consistent patterns in pseudorange residuals in GNSS timing data

Mikko Kotilainen, Maija Mäkelä, Kalle Hanhijärvi, Martta-Kaisa Olkkonen, Anders Wallin, Thomas Fordell, Sanna Kaasalainen

National Land Survey of Finland (NLS)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

The aim of this paper is to reduce the noise level in the time signals of the Global Navigation Satellite Systems (GNSS). This is done by finding patterns in the Common Generic GNSS Timing Transfer Standard (CGGTTS) data, as the pseudorange residuals in this data appear to include patterns that repeat every day. The reduced noise level allows for easier detection of possible anomalies in the time signals of individual GNSS satellites and hence increases the resilience of the GNSS time measurement. The observed patterns are explainable by multipath, repeating every time the satellite is at a certain position in its groundtrack.

Original language	English
Title of host publication	2023 International Conference on Localization and GNSS, ICL-GNSS 2023 - Proceedings
Editors	Jari Nurmi, Joaquin Torres Sospedra, Elena-Simona Lohan, Joaquin Huerta, Aleksandr Ometov
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	5
ISBN (Electronic)	979-8-3503-2308-5
ISBN (Print)	979-8-3503-2309-2
DOIs	https://doi.org/10.1109/ICL-GNSS57829.2023.10148921
Publication status	Published - 8 Jun 2023
MoE publication type	A4 Article in a conference publication
Event	2023 International Conference on Localization and GNSS (ICL-GNSS) - Castellón, Spain Duration: 6 Jun 2023 → 8 Jun 2023

Conference

Conference	2023 International Conference on Localization and GNSS (ICL-GNSS)
Period	6/06/23 → 8/06/23

Keywords

Location awareness
Global navigation satellite system
Satellites
Timing
Standards
Noise level
Resilience
multipath
timing
anomaly detection
pseudorange
CGGTTS

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10.1109/ICL-GNSS57829.2023.10148921

Cite this

Kotilainen, M., Mäkelä, M., Hanhijärvi, K., Olkkonen, M.-K., Wallin, A., Fordell, T., & Kaasalainen, S. (2023). Detecting consistent patterns in pseudorange residuals in GNSS timing data. In J. Nurmi, J. T. Sospedra, E.-S. Lohan, J. Huerta, & A. Ometov (Eds.), 2023 International Conference on Localization and GNSS, ICL-GNSS 2023 - Proceedings Article 10148921 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ICL-GNSS57829.2023.10148921

Kotilainen, Mikko ; Mäkelä, Maija ; Hanhijärvi, Kalle et al. / Detecting consistent patterns in pseudorange residuals in GNSS timing data. 2023 International Conference on Localization and GNSS, ICL-GNSS 2023 - Proceedings. editor / Jari Nurmi ; Joaquin Torres Sospedra ; Elena-Simona Lohan ; Joaquin Huerta ; Aleksandr Ometov. IEEE Institute of Electrical and Electronic Engineers, 2023.

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abstract = "The aim of this paper is to reduce the noise level in the time signals of the Global Navigation Satellite Systems (GNSS). This is done by finding patterns in the Common Generic GNSS Timing Transfer Standard (CGGTTS) data, as the pseudorange residuals in this data appear to include patterns that repeat every day. The reduced noise level allows for easier detection of possible anomalies in the time signals of individual GNSS satellites and hence increases the resilience of the GNSS time measurement. The observed patterns are explainable by multipath, repeating every time the satellite is at a certain position in its groundtrack.",

keywords = "Location awareness, Global navigation satellite system, Satellites, Timing, Standards, Noise level, Resilience, multipath, timing, anomaly detection, pseudorange, CGGTTS",

author = "Mikko Kotilainen and Maija M{\"a}kel{\"a} and Kalle Hanhij{\"a}rvi and Martta-Kaisa Olkkonen and Anders Wallin and Thomas Fordell and Sanna Kaasalainen",

note = "This study is part of the project Resilience and Security of Geospatial Data for Critical Infrastructures (REASON), which is funded by the Academy of Finland (339821); 2023 International Conference on Localization and GNSS (ICL-GNSS) ; Conference date: 06-06-2023 Through 08-06-2023",

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doi = "10.1109/ICL-GNSS57829.2023.10148921",

language = "English",

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Kotilainen, M, Mäkelä, M, Hanhijärvi, K, Olkkonen, M-K, Wallin, A , Fordell, T & Kaasalainen, S 2023, Detecting consistent patterns in pseudorange residuals in GNSS timing data. in J Nurmi, JT Sospedra, E-S Lohan, J Huerta & A Ometov (eds), 2023 International Conference on Localization and GNSS, ICL-GNSS 2023 - Proceedings., 10148921, IEEE Institute of Electrical and Electronic Engineers, 2023 International Conference on Localization and GNSS (ICL-GNSS), 6/06/23. https://doi.org/10.1109/ICL-GNSS57829.2023.10148921

Detecting consistent patterns in pseudorange residuals in GNSS timing data. / Kotilainen, Mikko; Mäkelä, Maija; Hanhijärvi, Kalle et al.
2023 International Conference on Localization and GNSS, ICL-GNSS 2023 - Proceedings. ed. / Jari Nurmi; Joaquin Torres Sospedra; Elena-Simona Lohan; Joaquin Huerta; Aleksandr Ometov. IEEE Institute of Electrical and Electronic Engineers, 2023. 10148921.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Detecting consistent patterns in pseudorange residuals in GNSS timing data

AU - Kotilainen, Mikko

AU - Mäkelä, Maija

AU - Hanhijärvi, Kalle

AU - Olkkonen, Martta-Kaisa

AU - Wallin, Anders

AU - Fordell, Thomas

AU - Kaasalainen, Sanna

N1 - This study is part of the project Resilience and Security of Geospatial Data for Critical Infrastructures (REASON), which is funded by the Academy of Finland (339821)

PY - 2023/6/8

Y1 - 2023/6/8

N2 - The aim of this paper is to reduce the noise level in the time signals of the Global Navigation Satellite Systems (GNSS). This is done by finding patterns in the Common Generic GNSS Timing Transfer Standard (CGGTTS) data, as the pseudorange residuals in this data appear to include patterns that repeat every day. The reduced noise level allows for easier detection of possible anomalies in the time signals of individual GNSS satellites and hence increases the resilience of the GNSS time measurement. The observed patterns are explainable by multipath, repeating every time the satellite is at a certain position in its groundtrack.

AB - The aim of this paper is to reduce the noise level in the time signals of the Global Navigation Satellite Systems (GNSS). This is done by finding patterns in the Common Generic GNSS Timing Transfer Standard (CGGTTS) data, as the pseudorange residuals in this data appear to include patterns that repeat every day. The reduced noise level allows for easier detection of possible anomalies in the time signals of individual GNSS satellites and hence increases the resilience of the GNSS time measurement. The observed patterns are explainable by multipath, repeating every time the satellite is at a certain position in its groundtrack.

KW - Location awareness

KW - Global navigation satellite system

KW - Satellites

KW - Timing

KW - Standards

KW - Noise level

KW - Resilience

KW - multipath

KW - timing

KW - anomaly detection

KW - pseudorange

KW - CGGTTS

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U2 - 10.1109/ICL-GNSS57829.2023.10148921

DO - 10.1109/ICL-GNSS57829.2023.10148921

M3 - Conference article in proceedings

SN - 979-8-3503-2309-2

BT - 2023 International Conference on Localization and GNSS, ICL-GNSS 2023 - Proceedings

A2 - Nurmi, Jari

A2 - Sospedra, Joaquin Torres

A2 - Lohan, Elena-Simona

A2 - Huerta, Joaquin

A2 - Ometov, Aleksandr

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2023 International Conference on Localization and GNSS (ICL-GNSS)

Y2 - 6 June 2023 through 8 June 2023

ER -

Kotilainen M, Mäkelä M, Hanhijärvi K, Olkkonen MK, Wallin A , Fordell T et al. Detecting consistent patterns in pseudorange residuals in GNSS timing data. In Nurmi J, Sospedra JT, Lohan ES, Huerta J, Ometov A, editors, 2023 International Conference on Localization and GNSS, ICL-GNSS 2023 - Proceedings. IEEE Institute of Electrical and Electronic Engineers. 2023. 10148921 doi: 10.1109/ICL-GNSS57829.2023.10148921

Detecting consistent patterns in pseudorange residuals in GNSS timing data

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Keywords

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