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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.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E106-B No.12 pp.1501-1509

- Publication Date
- 2023/12/01

- Publicized
- 2023/09/01

- Online ISSN
- 1745-1345

- DOI
- 10.1587/transcom.2023EBP3048

- Type of Manuscript
- PAPER

- Category
- Wireless Communication Technologies

Guojin LIAO

Liaoning University of Technology

Yongpeng ZUO

Cadence Design System Inc.

Qiao LIAO

Tianjin University

Xiaofeng TIAN

Liaoning University of Technology

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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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 -