Underwater acoustic communication and the general performance evaluation criteria

Huang, Jianguo; Wang, Han; He, Chengbing; Zhang, Qunfei; Jing, Lianyou

doi:10.1631/fitee.1700775

Cited by 54 publications

(24 citation statements)

References 111 publications

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“…The emergence of OSDM method makes the UAC system more configurable. The vector length M, subcarrier number N and PAPR of OSDM can be flexibly controlled [34]. The AMMUAC/OS system can realize single carrier time domain spread spectrum (SC-TDSS), single carrier system with cyclic prefix (SC-CP), OSDM, multicarrier frequency domain spread spectrum (MC-FDSS), and OFDM modulation modes by adjusting the vector length M of OSDM and spread spectrum code length.…”

Section: A Osdm Modulation Methodsmentioning

confidence: 99%

An Adaptive Multi-Mode Underwater Acoustic Communication System Using OSDM and Direct Sequence Spread Spectrum Modulation

et al. 2021

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Dynamic underwater acoustic network is a research hotspot. Due to the complexity and timevarying of underwater acoustic channel, the performance of single-mode underwater acoustic communication system is often limited by the worst channel situation. Orthogonal signal division multiplexing (OSDM) is a new signal modulation technology, which can be regarded as a bridge between single carrier modulation and orthogonal frequency division multiplexing (OFDM) modulation. In order to improve the channel adaptive ability of underwater acoustic communication system and obtain a unified architecture of different carrier modulation, an adaptive multi-mode underwater acoustic communication system based on OSDM and direct sequence spread spectrum modulation (AMMUAC/OS) is proposed in this paper. Combined with spread spectrum modulation, the system can realize single carrier time domain spread spectrum (SC-TDSS), single carrier system with cyclic prefix (SC-CP), OSDM, multicarrier frequency domain spread spectrum (MC-FDSS), and OFDM communication system by adjusting the vector length M of OSDM. The addition of a variety of digital mapping methods enables the system to achieve multi-mode communication with a unified architecture. Based on the relationship between the OSDM vector length M and the underwater acoustic channel delay, a joint adaptive decision criterion based on the maximum channel delay and the channel signal-to-noise ratio (SNR) is proposed. Firstly, the OSDM vector length M is determined according to the maximum channel delay, and then the system communication mode is selected according to the channel SNR. Orthogonal matching pursuit (OMP) channel estimation algorithm is used to obtain channel information and minimum mean square error (MMSE) channel equalization algorithm is used for channel compensation. An adaptive multi-mode data frame structure is designed for the interaction between the sender and the receiver. The simulation results show that the proposed AMMUAC/OS can adapt to underwater acoustic channels with different channel delay and SNR.INDEX TERMS underwater acoustic communication, adaptive communication, multi-mode communication, orthogonal signal division multiplexing, direct sequence spread spectrum I. INTRODUCTIONUnderwater acoustic communication (UAC) plays a more and more important role in marine environment monitoring, underwater detection, disaster prevention and so on [1][2]. In particular, the dynamic underwater acoustic network with multiple nodes connected by underwater acoustic communication is a research hotspot in this field [3][4][5][6].In the past decades, the single-mode underwater acoustic communication technology using frequency shift keying (FSK), phase shift keying (PSK), spread spectrum, orthogonal frequency division multiplexing (OFDM) and other modulation technologies has made great progress.

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Section: A Osdm Modulation Methodsmentioning

confidence: 99%

An Adaptive Multi-Mode Underwater Acoustic Communication System Using OSDM and Direct Sequence Spread Spectrum Modulation

et al. 2021

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“…[ 1–18 ] Therefore, acoustic metamaterials are attractive for many novel functional devices, including superlens, reflection‐less waveguide, concentrator, superabsorber, acoustic cloak, etc. [ 4–8,13,18 ] In particular, acoustic waveguiding to precisely control the propagation pathways of sound with trivial propagation loss is of great scientific and engineering interest, [ 14,19–21 ] which requires large impedance mismatches to realize total reflection. [ 1,22 ] At present, acoustic metamaterials with large impedance mismatches in air environment can be readily realized.…”

Section: Figurementioning

confidence: 99%

An Acoustic Meta‐Skin Insulator

et al. 2020

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Acoustic metamaterials with artificial microstructures are attractive to realize intriguing functions, including efficient waveguiding, which requires large impedance mismatches to realize total side reflection with negligible transmission and absorption. While large impedance mismatch can be readily realized in an air environment, acoustic waveguiding in an underwater environment remains elusive due to insufficient impedance mismatch of state‐of‐the‐art metamaterials. Here, a superhydrophobic acoustic metasurface of microstructured poly(vinylidene fluoride) membrane, referred to as a “meta‐skin” insulator, which is able to confine acoustic waves in an all‐angle and wide spectrum range due to tremendous impedance mismatch at stable air/water interfaces, viz., the Cassie–Baxter state is demonstrated. By utilizing the meta‐skin insulator with broadband and high throughput, orbital‐angular‐momentum multiplexing at a high spectral efficiency and binary coding along large‐angle bending channels for bit‐error‐free acoustic data transmission in an underwater environment are demonstrated. Very different from optical and/or electrical cable communications, acoustic waves can be simply and effectively coupled into remote meta‐skin acoustic fibers from free space, which is technologically significant for long‐haul and anti‐interference communication. This work can enlighten many fluidic applications based on efficient waveguiding, such as in vivo ultrasound medical treatment and imaging.

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“…The effect of physical parameters like propagation effects and scattering of acoustic signal in shallow water channels were shown by Van Walree, 2013 [2]. The comparative study was developed for short-to medium range communications and low-data rates [5]. Based on the literature survey, the lack of development of channel propagation model for UAWSN for tank which helps to estimate the received power for amount of transmitted power by sensor node is observed.…”

Section: Sweta S Panchal Ved Vyas Dwivedi Jayesh P Pabarimentioning

confidence: 99%

Development of Underwater Acoustic Channel Model for Wireless Sensor Network in Tank

Panchal*,

Dwivedi,

Pabari

2020

IJITEE

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The physical quantity of interest can be detected using wireless sensor network. The concept of wireless sensor network used to explore difficult areas to access is extended to underwater applications. Efforts are made to focus on design and development of reliable, feasible and robust system for communication in underwater environment. The scenario of communication is completely different for terrestrial and underwater environment. Underwater wireless communication is accomplished by transmission of acoustic signal. Requirement exists to develop a model governing basic equations for acoustic frequency range for underwater acoustic communication. With excess quantity of sodium chloride in a underwater tank, the physical properties of the channel changes which alternately effects the communication. Using soft computing technique, the attenuation model is simulated which is a basic physical property taking change during underwater acoustic communication. The topology of sensor network in water is another challenging task because behaviors of acoustic sensor in underwater are completely different than terrestrial sensors. Thus the efforts are made to devise a model of acoustic frequency environment in water using basic relationships of various physical phenomena. The Channel propagation model is devised that helps to understand percentage area coverage for the received signal strength of the transmitted acoustic signal. Thus the underwater acoustic signal channel propagation model is presented which helps to focus on communication scenario in water and proceed for application.

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Underwater acoustic communication and the general performance evaluation criteria

Cited by 54 publications

References 111 publications

An Adaptive Multi-Mode Underwater Acoustic Communication System Using OSDM and Direct Sequence Spread Spectrum Modulation

An Adaptive Multi-Mode Underwater Acoustic Communication System Using OSDM and Direct Sequence Spread Spectrum Modulation

An Acoustic Meta‐Skin Insulator

Development of Underwater Acoustic Channel Model for Wireless Sensor Network in Tank

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