Article
Acoustics
Yaohui Hu, Shuping Han, Houquan Li, Heng Zhao, Gang Yang, Jingfeng Xu
Summary: A deep learning-based direct sequence spread spectrum (DSSS) underwater acoustic (UWA) communication system was proposed to enhance performance under Doppler effects and low SNR. The TCN model was used as the receiver, which outperformed the conventional system under Doppler effects and complex shallow water acoustic channel. A transfer training algorithm was employed to fine-tune the model using real-time sea data, resulting in improved communication effectiveness.
Article
Computer Science, Information Systems
HyungIn Ra, Changhyun Youn, Kiman Kim
Summary: Underwater acoustic channels have specific characteristics that require spread spectrum technology for reliable communication. This paper proposes a M-ary cyclic spread spectrum technique that improves performance through Doppler frequency estimation and synchronization correction.
Article
Engineering, Marine
Guang Yang, Feng Zhou, Gang Qiao, Yunjiang Zhao, Yufei Liu, Yinheng Lu, Yuanan He
Summary: This paper proposes a non-data-aided Doppler estimation method for M-ary spread spectrum UWA communication systems in mobile scenarios, optimizing the process to reduce search range and computational complexity.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Acoustics
Guang Yang, Feng Zhou, Yi Lou, Gang Qiao, Niaz Ahmed, Yuanan He
Summary: This paper introduces a high-efficiency double-differential coded M-ary direct sequence spread spectrum system for underwater communication, which overcomes the challenges of low signal-to-noise ratio and severe Doppler effect. The system shows better performance in a mobile environment, with higher data rates and lower energy consumption.
Article
Computer Science, Information Systems
Alexei Nikitin, Ruslan L. Davidchack
Summary: This paper presents an overview of M-ary Aggregate Spread Pulse Modulation (M-ASPM) and evaluates its suitability and advantages for use in LPWANs. M-ASPM combines high energy efficiency, robustness, resistance to interference, and spread-spectrum ability to extend the network range while maintaining capacity. Compared to LoRa, M-ASPM provides more effective network range extension and can serve as an alternative. M-ASPM and LoRa can be designed to operate concurrently in the same spectral band and complement each other's coverage.
Article
Engineering, Electrical & Electronic
Xiaoyu Yang, Yuehai Zhou, Rong Wang, Feng Tong
Summary: In this article, a real-time OSDM MODEM is researched and implemented for UWAC, including hardware and software. The OSDM MODEM achieves error-free with the data rate of 4.35 kb/s by using the minimum-mean-square-error (MMSE) equalizer and polar decoding under slow time-varying channels, and the communication range reaches larger than 5 km.
IEEE SENSORS JOURNAL
(2023)
Article
Acoustics
Gang Qiao, Yufei Liu, Feng Zhou, Yunjiang Zhao, Suleman Mazhar, Guang Yang
Summary: A deep learning-based M-ary spread spectrum underwater acoustic communication system is proposed, where the LSTM model is used as the receiver for direct demodulation. Simulation results show that the system outperforms the conventional system under low signal-to-noise ratio and complex shallow water acoustic channel. The experiment conducted in a water tank also demonstrates the impact of equipment, training samples, and LSTM models on system performance.
Article
Engineering, Electrical & Electronic
Songzuo Liu, Habib Hussain Zuberi, Yi Lou, Muhmmad Bilal Farooq, Shahabuddin Shaikh, Waleed Raza
Summary: This paper introduces the widespread use of linear chirp spread spectrum technique in underwater acoustic communication and proposes two variants of M-ary nonlinear sine chirp spread spectrum technique based on VTRM to increase data rate and reduce bit error rate. Experimental results show that the method has better Doppler sensitivity and system complexity in underwater acoustic communication.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Stefano Mangione, Giovanni Ettore Galioto, Daniele Croce, Ilenia Tinnirello, Chiara Petrioli
Summary: Acoustic underwater channels present challenges due to various factors, including bandwidth limitations, long delays, multipath, attenuation, time variation, and Doppler shifts. This paper proposes a software-defined modem that can adapt to changing channel conditions and optimize parameters for efficient communication. Experimental results demonstrate the effectiveness of dynamic adjustments in enabling the use of OFDM modulations in underwater communications.
Article
Acoustics
Yunjiang Zhao, Gang Qiao, Songzuo Liu, Yuriy Zakharov, Niaz Ahmed
Summary: IBFD underwater acoustic communication can improve the throughput of UWA communication networks. This paper focuses on SI channel modeling and its importance for SI cancellation in IBFD modems. The proposed model is validated through experimental and simulation results for SLI and SMI in underwater vertical channels.
Article
Computer Science, Information Systems
Alexei Nikitin, Ruslan L. Davidchack
Summary: M-ASPM is a suitable modulation technique for LPWANs, providing high energy efficiency and resistance to interference. However, in complex propagation environments, differences in node transmit power can impact transmission efficiency. We propose a power control approach to address this issue.
Article
Engineering, Electrical & Electronic
Wei Men, Liang Zhang, Jingwei Yin, Jiaqi Wang
Summary: This paper proposes a joint detection-communication technique for continuous active sonar (CAS) systems. By embedding information in the waveforms used for sonar detection, simultaneous communication and detection are achieved. The overall performance of the integrated system is improved through the application of Generalized Sinusoidal Frequency Modulated waveforms and optimization using the Genetic Algorithm. Numerical simulation and field experimental results demonstrate the remarkable reliability of the proposed technique in performing CAS detection and communication simultaneously.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Computer Science, Information Systems
Zichen Zhao, Zongxin Sun
Summary: This paper investigates the application of Low-density parity-check (LDPC) codes in underwater acoustic communication. By combining short-block LDPC codes with spread spectrum communication, the inapplicability issue of traditional LDPC codes in underwater communication is addressed. The proposed method is validated through experimental tests.
Article
Acoustics
Kwang B. Yoo, Geoffrey F. Edelmann
Summary: This study demonstrates a method to achieve low complexity and low error decoding of direct-sequence spread spectrum signals in underwater acoustic communications, by measuring and updating a passive conjugate matched filter to mitigate multipath effects and strong Doppler.
Article
Engineering, Marine
Yufei Liu, Feng Zhou, Gang Qiao, Yunjiang Zhao, Guang Yang, Xinyu Liu, Yinheng Lu
Summary: A deep learning-based CSK-SS underwater acoustic communication system is proposed to improve performance in low signal-to-noise ratio and multipath effects by utilizing a neural network model. Experimental results show that the system is more reliable than conventional systems, especially when the communication rate is less than 180 bps at a signal-to-noise ratio of -8 dB.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Chemistry, Analytical
Banafsaj Jaafar, Junwen Luo, Dimitrios Firfilionis, Ahmed Soltan, Jeff Neasham, Patrick Degenaar
Article
Computer Science, Information Systems
Steve Chukwuebuka Arum, David Grace, Paul Daniel Mitchell, Muhammad Danial Zakaria, Nils Morozs
Article
Environmental Sciences
Alexander Hamilton, Sam Holdcroft, Davide Fenucci, Paul Mitchell, Nils Morozs, Andrea Munafo, Jeremy Sitbon
Article
Chemistry, Multidisciplinary
Wael Gorma, Mark A. Post, James White, James Gardner, Yang Luo, Jongrae Kim, Paul D. Mitchell, Nils Morozs, Marvin Wright, Qing Xiao
Summary: To reduce costs and risks, Autonomous Underwater Vehicles are widely used in marine industries, with the need for efficiency and flexibility, such as the biomimetic fish-like AUV - RoboFish, which provides high thrust efficiency and agility.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Aliyu Ahmed, Paul D. Mitchell, Yuriy Zakharov, Nils Morozs
Summary: This research introduces the FD-LTDA-MAC protocol for underwater acoustic chain networks to enhance efficiency in facility monitoring. By leveraging full-duplex communication, significant improvements in packet scheduling and reduced end-to-end delays are achieved in large scale scenarios compared to traditional MAC protocols.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Marine
Gavin James Lowes, Jeffrey Neasham, Richie Burnett, Benjamin Sherlock, Charalampos Tsimenidis
Summary: This paper presents the development of a low-energy passive acoustic vessel detector as part of a wireless underwater monitoring network. The vessel detection method is based on a low-energy implementation of Detection of Envelope Modulation On Noise (DEMON). The vessel detector design combines analogue and digital processing and can achieve low-cost and long-term deployment. Field trial results in the North Sea showed a 94% corroboration rate with local Automatic Identification System (AIS) data, with the potential for extracting additional information about the detected vessel.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Nils Morozs, Benjamin Sherlock, Benjamin T. Henson, Jeffrey A. Neasham, Paul D. Mitchell, Yuriy Zakharov
Summary: This paper presents a robust and scalable data gathering protocol for underwater acoustic (UWA) networks. It integrates multiple functionalities to facilitate reliable data collection in practical UWA deployments. The paper also introduces the experimental testbed and underwater sensor node prototype used in the trials.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Nils Morozs, Paul D. Mitchell, Roee Diamant
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Computer Science, Information Systems
Nils Morozs, Wael Gorma, Benjamin T. Henson, Lu Shen, Paul D. Mitchell, Yuriy V. Zakharov