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An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function

Binary offset carrier (BOC) modulation is a new modulation method that has been gradually applied to the Global Satellite Navigation System (GNSS) in recent years. However, due to the multi-peaks in its auto-correlation function (ACF), it will incur a false lock and generate synchronization ambiguou...

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Autores principales: Sun, Xiyan, Song, Shaojie, Ji, Yuanfa, Gan, Xingli, Yan, Suqing, Jia, Xizi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001717/
https://www.ncbi.nlm.nih.gov/pubmed/33799727
http://dx.doi.org/10.3390/s21061982
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author Sun, Xiyan
Song, Shaojie
Ji, Yuanfa
Gan, Xingli
Yan, Suqing
Jia, Xizi
author_facet Sun, Xiyan
Song, Shaojie
Ji, Yuanfa
Gan, Xingli
Yan, Suqing
Jia, Xizi
author_sort Sun, Xiyan
collection PubMed
description Binary offset carrier (BOC) modulation is a new modulation method that has been gradually applied to the Global Satellite Navigation System (GNSS) in recent years. However, due to the multi-peaks in its auto-correlation function (ACF), it will incur a false lock and generate synchronization ambiguous potentially. In this paper, an unambiguous synchronization method based on a reconstructed correlation function is proposed to solve the ambiguity problem. First, through the shape code vector constructed in this paper, the general cross-correlation function (CCF) expression of the BOC modulated signal will be obtained. Based on the features of the signal correlation function, it is decomposed into a matrix form of trigonometric functions. Then, it generates two local signal waves using a specific method, then the proposed method is implemented to obtain a no-side-peak correlation function by reconstructing the cross-correlation between the received signal and the two local signals. Simulations showed that it fully eliminates the side-peak threat and significantly removes the ambiguity during the synchronization of the BOC signals. This paper also gives the improved structure of acquisition and tracking. The detailed theoretical deduction of detection probability and code tracking error is demonstrated, and the corresponding phase discrimination function is given. In terms of de-blurring ability and detection probability performance, the proposed method outperformed other conventional approaches. The tracking performance was superior to the comparison methods and the phase discrimination curve only had a zero-crossing, which successfully removed the false lock points. In addition, in multipath mitigation, it outperformed the ACF of the BOC signal, and performs as well as the autocorrelation side-peak cancellation technique (ASPeCT) for BOC(kn,n) signals.
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spelling pubmed-80017172021-03-28 An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function Sun, Xiyan Song, Shaojie Ji, Yuanfa Gan, Xingli Yan, Suqing Jia, Xizi Sensors (Basel) Article Binary offset carrier (BOC) modulation is a new modulation method that has been gradually applied to the Global Satellite Navigation System (GNSS) in recent years. However, due to the multi-peaks in its auto-correlation function (ACF), it will incur a false lock and generate synchronization ambiguous potentially. In this paper, an unambiguous synchronization method based on a reconstructed correlation function is proposed to solve the ambiguity problem. First, through the shape code vector constructed in this paper, the general cross-correlation function (CCF) expression of the BOC modulated signal will be obtained. Based on the features of the signal correlation function, it is decomposed into a matrix form of trigonometric functions. Then, it generates two local signal waves using a specific method, then the proposed method is implemented to obtain a no-side-peak correlation function by reconstructing the cross-correlation between the received signal and the two local signals. Simulations showed that it fully eliminates the side-peak threat and significantly removes the ambiguity during the synchronization of the BOC signals. This paper also gives the improved structure of acquisition and tracking. The detailed theoretical deduction of detection probability and code tracking error is demonstrated, and the corresponding phase discrimination function is given. In terms of de-blurring ability and detection probability performance, the proposed method outperformed other conventional approaches. The tracking performance was superior to the comparison methods and the phase discrimination curve only had a zero-crossing, which successfully removed the false lock points. In addition, in multipath mitigation, it outperformed the ACF of the BOC signal, and performs as well as the autocorrelation side-peak cancellation technique (ASPeCT) for BOC(kn,n) signals. MDPI 2021-03-11 /pmc/articles/PMC8001717/ /pubmed/33799727 http://dx.doi.org/10.3390/s21061982 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Xiyan
Song, Shaojie
Ji, Yuanfa
Gan, Xingli
Yan, Suqing
Jia, Xizi
An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function
title An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function
title_full An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function
title_fullStr An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function
title_full_unstemmed An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function
title_short An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function
title_sort unambiguous synchronization scheme for gnss boc signals based on reconstructed correlation function
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001717/
https://www.ncbi.nlm.nih.gov/pubmed/33799727
http://dx.doi.org/10.3390/s21061982
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