On Equalization Performance in Underwater Acoustic Communication

Pinho, Vinicius; Chaves, Rafael; Campos, Marcello L. R. de

doi:10.14209/sbrt.2018.207

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…To further improve the performance, the mean-square error decision-feedback equalizer (MSE-DFE) was investigated, which uses a linear predictor and a feedback filter to whiten the noise at the output. Due to its complex structure and design, MSE-DFE is rarely used in UOWC systems but is widely used in UAC systems [107][108][109]. In summary, signal processing techniques that rely on non-machine learning equalizers are widely used in UOWC systems.…”

Section: Signal Processing Techniquesmentioning

confidence: 99%

High-Speed Underwater Optical Wireless Communication with Advanced Signal Processing Methods Survey

Fang

Wang

et al. 2023

Photonics

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Underwater wireless communication (UWC) technology has attracted widespread attention in the past few years. Compared with conventional acoustic underwater wireless communication technology, underwater optical wireless communication (UOWC) technology has promising potential to provide high data rate wireless connections due to the large license-free bandwidth. Building a high-performance and reliable UOWC system has become the target of researchers and various advanced and innovative technologies have been proposed and investigated. Among them, better hardware such as transmitters and receivers, as well as more advanced modulation and signal processing techniques, are key factors in improving UOWC system performance. In this paper, we review the recent development in UOWC systems. In particular, we provide a brief introduction to different types of UOWC systems based on channel configuration, and we focus on various recent studies on advanced signal processing methods in UOWC systems, including both traditional non-machine learning (NML) equalizers and machine learning (ML) schemes based on neural networks. In addition, we also discuss the key challenges in UOWC systems for future applications.

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Section: Signal Processing Techniquesmentioning

confidence: 99%

High-Speed Underwater Optical Wireless Communication with Advanced Signal Processing Methods Survey

Fang

Wang

et al. 2023

Photonics

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“…In the following, we show the operational framework in action. The goal is to use this framework to reproduce the results from the fourth experimental transmission, which is detailed in [43].…”

Section: Operational Framework In Actionmentioning

confidence: 99%

“…For the simulation, we used a modified version of the UWA transceiver model [43] employed in the practical transmission, as depicted in Fig. 11.…”

Section: Operational Framework In Actionmentioning

confidence: 99%

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On Generating Monte Carlo Simulations of Underwater Acoustic Communication Systems with Application to Transmit Beamforming

Souza¹,

Pinho²,

Chaves³

et al. 2022

JCIS

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Underwater Acoustic (UWA) communication systems still rely heavily on at-sea trials. This work presents an operational framework that significantly reduces the need for practical experiments. The key idea is to generate channel impulse responses (CIRs) drawn from probability density functions constructed based on trusted information and to employ Monte Carlo simulations to develop new UWA communication systems. Hence, the proposed operational framework depends only on cheaper-to-acquire physical measurements to produce CIRs. It comprises a model-based CIR replay tool and a stochastic-based UWA channel simulator. The former can be any model-based CIR replay tool, and the latter is proposed in this work and validated using data from four different practical experiments. We also carried out experiments for a transmit beamforming with signals digitally modulated in binary phase-shift keying, which were transmitted by an array and by a single source with equivalent power. For the array, the ideal transmit direction comes from the lowest bit error rate (BER) obtained with computer simulations. This paper compares the performance of the transmit array to the single source transmission and the results of a practical experimental transmission with a Monte Carlo simulation employing the proposed technique. We show that both achieved close results regarding BER and mean squared error. The conclusion is that the proposed operational framework, once adjusted to the specific transmission site, can be used to design new UWA communication systems, eliminating the burden of at-sea trials for tests of new transceivers. Finally, we conducted real-life transmit beamforming experiments to verify the BER gain obtained in practice using the steering angle obtained from simulations.

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On Equalization Performance in Underwater Acoustic Communication

Cited by 2 publications

References 11 publications

High-Speed Underwater Optical Wireless Communication with Advanced Signal Processing Methods Survey

High-Speed Underwater Optical Wireless Communication with Advanced Signal Processing Methods Survey

On Generating Monte Carlo Simulations of Underwater Acoustic Communication Systems with Application to Transmit Beamforming

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