GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter

Global navigation satellite system (GNSS) signals from different frequencies can be effectively treated as a single entity, characterized by common delays and carrier phases, leading to so-called GNSS meta-signals. A convenient approach for deriving meta-signal acquisition and tracking algorithms ha...

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Main Authors: Daniele Borio, Melania Susi
Format: Article
Language:English
Published: Institute of Navigation 2024-12-01
Series:Navigation
Online Access:https://navi.ion.org/content/71/4/navi.674
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author Daniele Borio
Melania Susi
author_facet Daniele Borio
Melania Susi
author_sort Daniele Borio
collection DOAJ
description Global navigation satellite system (GNSS) signals from different frequencies can be effectively treated as a single entity, characterized by common delays and carrier phases, leading to so-called GNSS meta-signals. A convenient approach for deriving meta-signal acquisition and tracking algorithms has been recently introduced based on bicomplex numbers, which are a bidimensional extension of complex numbers. Bicomplex numbers allow one to represent two signals from different frequencies as a single quantity, providing a compact notation for algorithm development. In this work, an error-state Kalman filter (KF) is developed, and two signals from different frequencies are tracked simultaneously using the bicomplex number paradigm. A triple-loop architecture, in which loop filters are replaced by a single KF, is developed, implemented, and tested using real Galileo alternative binary offset carrier and BeiDou B1I/B1C meta-signals. This analysis clearly shows the advantages of KF tracking for processing GNSS meta-signals with components from different frequencies.
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spelling doaj-art-35ec627b92e14ac6b508161e5bc08d172025-08-20T02:37:25ZengInstitute of NavigationNavigation2161-42962024-12-0171410.33012/navi.674navi.674GNSS Meta-Signal Tracking Using a Bicomplex Kalman FilterDaniele BorioMelania SusiGlobal navigation satellite system (GNSS) signals from different frequencies can be effectively treated as a single entity, characterized by common delays and carrier phases, leading to so-called GNSS meta-signals. A convenient approach for deriving meta-signal acquisition and tracking algorithms has been recently introduced based on bicomplex numbers, which are a bidimensional extension of complex numbers. Bicomplex numbers allow one to represent two signals from different frequencies as a single quantity, providing a compact notation for algorithm development. In this work, an error-state Kalman filter (KF) is developed, and two signals from different frequencies are tracked simultaneously using the bicomplex number paradigm. A triple-loop architecture, in which loop filters are replaced by a single KF, is developed, implemented, and tested using real Galileo alternative binary offset carrier and BeiDou B1I/B1C meta-signals. This analysis clearly shows the advantages of KF tracking for processing GNSS meta-signals with components from different frequencies.https://navi.ion.org/content/71/4/navi.674
spellingShingle Daniele Borio
Melania Susi
GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter
Navigation
title GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter
title_full GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter
title_fullStr GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter
title_full_unstemmed GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter
title_short GNSS Meta-Signal Tracking Using a Bicomplex Kalman Filter
title_sort gnss meta signal tracking using a bicomplex kalman filter
url https://navi.ion.org/content/71/4/navi.674
work_keys_str_mv AT danieleborio gnssmetasignaltrackingusingabicomplexkalmanfilter
AT melaniasusi gnssmetasignaltrackingusingabicomplexkalmanfilter