Shipborne Underwater Acoustic Communication System and Sea Trials with Submersible Shenhai Yongshi

Wu, Yanbo; Zhu, Min; Liang, Tao; Wang, Wei; Yang, Bo; Zhang, Linyuan; Li, Xinguo; Liu, Ye-yao

doi:10.1007/s13344-018-0076-z

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…In order to achieve high-speed communications at a low SNR, a series of advanced encoding and receiving algorithms are used. The most representative is the sparse adaptive equalization algorithm based on turbo code, which completes the joint processes of the advanced error correction code and the sparse equalizer [9]. In order to achieve a longer communication distance, the shipborne transducer of the Fendouzhe HOV is designed with a plane array.…”

Section: Acoustic Communication Equipment Of the Supporting Ship: The Shipborne Acoustic Systemmentioning

confidence: 99%

The Acoustic System of the Fendouzhe HOV

Liu

Xue

Yang

et al. 2021

Sensors

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Due to the strong absorption and attenuation of electromagnetic waves by water, radio communications and global positioning systems are lacking in the deep-sea environment. Therefore, underwater long-distance communications, positioning, detection and other functions depend on acoustic technology. In order to realize the above functions, the acoustic system of the Fendouzhe human occupied vehicle (HOV) is composed of eight kinds of sonars and sensors, which is one of the core systems of manned submersible. Based on the Jiaolong/Shenhai Yongshi HOVs, the acoustic system of the Fendouzhe HOV has been developed. Compared with the previous technology, there are many technical improvements and innovations: 10,000-m underwater acoustic communication, 10,000-m underwater acoustic positioning, multi-beam forward-looking imaging sonar, an integrated navigation system, etc. This study introduces the structure of the acoustic system of the Fendouzhe HOV and the technical improvements compared with the Jiaolong/Shenhai Yongshi HOVs. The results of the acoustic system are illustrated by the 10,000-m sea trails in the Mariana Trench from October to December 2020.

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Section: Acoustic Communication Equipment Of the Supporting Ship: The Shipborne Acoustic Systemmentioning

confidence: 99%

The Acoustic System of the Fendouzhe HOV

Liu

Xue

Yang

et al. 2021

Sensors

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“…It is noted by [8] that, in most SON applications, only short packets need to be transmitted periodically and the resulting data rate is no more than 1200 bit/s. Therefore, a low-power and high-reliability noncoherent UAC scheme is more desirable for a long-term cableless SON [10]. [5] QPSK 30 km 3-4 kHz 350 bit/s 4 The DART system (2013) [6] MFSK 7 km 9-14 kHz 600 bit/s 1…”

Section: Underwater Acoustic Communications For Sonsmentioning

confidence: 99%

Efficient On-Off Keying Underwater Acoustic Communication for Seafloor Observation Networks

Yao

Zhu

et al. 2020

Applied Sciences

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In the cableless seafloor observation networks (SONs), the links among network nodes rely on underwater acoustic communication (UAC). Due to the energy constraint and the high-reliability requirement of the cableless SONs, the noncoherent UAC has been a preferred choice, even though a noncoherent UAC scheme generally suffers from low spectral efficiency. In this paper, we propose a high-spectral-efficiency noncoherent UAC transmission scheme which is implemented as an orthogonal frequency-division multiplexing (OFDM) system adopting the on-off keying (OOK) modulation. To simultaneously achieve high performance at a low energy consumption, an irregular recursive convolutional code (IrCC) is employed and an accumulator (ACC) is introduced to achieve a modulation with memory at the transmitter side. The ACC enables a turbo iteration between the soft demapper called the ACC-OOK demapper and the soft decoder on the receiver side, and also reduces the decoding error floor. To account for the unknown signal-to-noise ratio (SNR), an iterative threshold estimation (ITE) algorithm is proposed to determine a proper decision threshold for the ACC-OOK demapper. The IrCC is designed to match the extrinsic information transfer (EXIT) curve of the ACC-OOK demapper, lowering the SNR threshold of the aforementioned turbo iteration. Simulations and experimental results verify the superiority of the proposed noncoherent UAC scheme over conventional ones.

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“…Underwater acoustic (UWA) communication plays an important role, and numerous studies on this topic have been conducted [1][2][3][4][5]. Wu et al proposed a robust and lowcomplexity synchronization technique in the time and Doppler domains, which is capable of handling adverse channel conditions [6]. Zhao et al employed a single-element time-reversal mirror to achieve channel equalization and mitigate the intersymbol interference resulting from multipath propagation based on the symbol-based Doppler compensation technique [7].…”

Section: Introductionmentioning

confidence: 99%

“…Wu et al. proposed a robust and low‐complexity synchronization technique in the time and Doppler domains, which is capable of handling adverse channel conditions [6]. Zhao et al.…”

Section: Introductionmentioning

confidence: 99%

A composite spread spectrum sequence for underwater acoustic signal acquisition

Zhang,

2024

IET Communications

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Spread spectrum technology has been widely employed for positioning and communicating with autonomous underwater vehicles (AUVs), but conventional spread spectrum sequences lack confidentiality and reliability in UWA channel. Considering the limitations of conventional sequences and the characteristics of underwater acoustic (UWA) channel, a composite chaotic orthogonal sequence (CCOS) based on the UWA channel is proposed. The confidentiality of the CCOS is superior to that of the m‐sequence, while the autocorrelation performance of the CCOS is superior to that of the orthogonal sequence. Moreover, the CCOS can compensate for the imbalance of logistic chaotic sequence when assigned certain initial values. Acquisition is a crucial component of accessing the spread spectrum signal; therefore, the acquisition performance indicates the applicability of the CCOS. The source–target model is established to simulate communication with an underwater moving target. To simulate the acquisition process, a parallel algorithm based on fast Fourier transform is adopted, and the entire simulation process is completed based on the BELLHOP ray acoustic model. Through data processing, the Doppler shift error is less than half of the frequency‐search element. Furthermore, the acquisition probabilities of the CCOS with different numbers of bits are over 90%, which demonstrates the reliability of the CCOS.

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Shipborne Underwater Acoustic Communication System and Sea Trials with Submersible Shenhai Yongshi

Cited by 11 publications

References 9 publications

The Acoustic System of the Fendouzhe HOV

The Acoustic System of the Fendouzhe HOV

Efficient On-Off Keying Underwater Acoustic Communication for Seafloor Observation Networks

A composite spread spectrum sequence for underwater acoustic signal acquisition

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