The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
La détection de synchronisation de trame avant la transmission de données est un module important qui affecte directement la durée de vie et la coexistence des réseaux de communication acoustique sous-marine (UAC), où la modulation de fréquence linéaire (LFM) est un signal de préambule de trame couramment utilisé pour la synchronisation. Contrairement aux communications sans fil terrestres, de forts bruits de rafale apparaissent fréquemment dans l'UAC. En raison de la longue distance de transmission et du faible rapport signal/bruit, un fort bruit en rafale à courte distance réduira considérablement la précision de la détection conventionnelle de transformée de Fourier fractionnaire (FrFT). Nous proposons un algorithme de détection de préambule par transformée de Fourier fractionnaire (MFrFT) à vérification multi-segments pour relever ce défi. Dans l'algorithme proposé, 4 fois les opérations FrFT adjacentes sont effectuées. Et le signal LFM s'identifie en observant la corrélation linéaire entre deux lignes connectées par paires parmi trois points de crête adjacents, appelé « mécanisme de corrélation à double ligne ». L'heure de démarrage précise du signal LFM peut être trouvée en fonction de la fréquence de crête du FrFT adjacent. Plus important encore, MFrFT n’entraîne pas d’augmentation de la complexité informatique. Par rapport à la méthode de détection FrFT conventionnelle, les résultats expérimentaux montrent que l'algorithme proposé peut distinguer efficacement les points de départ du signal et le bruit en rafale avec un taux de détection d'erreur beaucoup plus faible, ce qui minimise le coût de retransmission.
Guojin LIAO
Liaoning University of Technology
Yongpeng ZUO
Cadence Design System Inc.
Qiao LIAO
Tianjin University
Xiaofeng TIAN
Liaoning University of Technology
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Guojin LIAO, Yongpeng ZUO, Qiao LIAO, Xiaofeng TIAN, "Multi-Segment Verification FrFT Frame Synchronization Detection in Underwater Acoustic Communications" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 12, pp. 1501-1509, December 2023, doi: 10.1587/transcom.2023EBP3048.
Abstract: Frame synchronization detection before data transmission is an important module which directly affects the lifetime and coexistence of underwater acoustic communication (UAC) networks, where linear frequency modulation (LFM) is a frame preamble signal commonly used for synchronization. Unlike terrestrial wireless communications, strong bursty noise frequently appears in UAC. Due to the long transmission distance and the low signal-to-noise ratio, strong short-distance bursty noise will greatly reduce the accuracy of conventional fractional fourier transform (FrFT) detection. We propose a multi-segment verification fractional fourier transform (MFrFT) preamble detection algorithm to address this challenge. In the proposed algorithm, 4 times of adjacent FrFT operations are carried out. And the LFM signal identifies by observing the linear correlation between two lines connected in pair among three adjacent peak points, called ‘dual-line-correlation mechanism’. The accurate starting time of the LFM signal can be found according to the peak frequency of the adjacent FrFT. More importantly, MFrFT do not result in an increase in computational complexity. Compared with the conventional FrFT detection method, experimental results show that the proposed algorithm can effectively distinguish between signal starting points and bursty noise with much lower error detection rate, which in turn minimizes the cost of retransmission.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3048/_p
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@ARTICLE{e106-b_12_1501,
author={Guojin LIAO, Yongpeng ZUO, Qiao LIAO, Xiaofeng TIAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Multi-Segment Verification FrFT Frame Synchronization Detection in Underwater Acoustic Communications},
year={2023},
volume={E106-B},
number={12},
pages={1501-1509},
abstract={Frame synchronization detection before data transmission is an important module which directly affects the lifetime and coexistence of underwater acoustic communication (UAC) networks, where linear frequency modulation (LFM) is a frame preamble signal commonly used for synchronization. Unlike terrestrial wireless communications, strong bursty noise frequently appears in UAC. Due to the long transmission distance and the low signal-to-noise ratio, strong short-distance bursty noise will greatly reduce the accuracy of conventional fractional fourier transform (FrFT) detection. We propose a multi-segment verification fractional fourier transform (MFrFT) preamble detection algorithm to address this challenge. In the proposed algorithm, 4 times of adjacent FrFT operations are carried out. And the LFM signal identifies by observing the linear correlation between two lines connected in pair among three adjacent peak points, called ‘dual-line-correlation mechanism’. The accurate starting time of the LFM signal can be found according to the peak frequency of the adjacent FrFT. More importantly, MFrFT do not result in an increase in computational complexity. Compared with the conventional FrFT detection method, experimental results show that the proposed algorithm can effectively distinguish between signal starting points and bursty noise with much lower error detection rate, which in turn minimizes the cost of retransmission.},
keywords={},
doi={10.1587/transcom.2023EBP3048},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Multi-Segment Verification FrFT Frame Synchronization Detection in Underwater Acoustic Communications
T2 - IEICE TRANSACTIONS on Communications
SP - 1501
EP - 1509
AU - Guojin LIAO
AU - Yongpeng ZUO
AU - Qiao LIAO
AU - Xiaofeng TIAN
PY - 2023
DO - 10.1587/transcom.2023EBP3048
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2023
AB - Frame synchronization detection before data transmission is an important module which directly affects the lifetime and coexistence of underwater acoustic communication (UAC) networks, where linear frequency modulation (LFM) is a frame preamble signal commonly used for synchronization. Unlike terrestrial wireless communications, strong bursty noise frequently appears in UAC. Due to the long transmission distance and the low signal-to-noise ratio, strong short-distance bursty noise will greatly reduce the accuracy of conventional fractional fourier transform (FrFT) detection. We propose a multi-segment verification fractional fourier transform (MFrFT) preamble detection algorithm to address this challenge. In the proposed algorithm, 4 times of adjacent FrFT operations are carried out. And the LFM signal identifies by observing the linear correlation between two lines connected in pair among three adjacent peak points, called ‘dual-line-correlation mechanism’. The accurate starting time of the LFM signal can be found according to the peak frequency of the adjacent FrFT. More importantly, MFrFT do not result in an increase in computational complexity. Compared with the conventional FrFT detection method, experimental results show that the proposed algorithm can effectively distinguish between signal starting points and bursty noise with much lower error detection rate, which in turn minimizes the cost of retransmission.
ER -