Long range real-time underwater acoustic communication at low bit rate with channel coding protection

Goalic, André; Trubuil, J.; Beuzelin, Nicolas

doi:10.1109/milcom.2008.4753059

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Additionally, the Matlab code corresponding to the proposed simulator is available at http://perso.telecom-bretagne.eu/fxsocheleau/software. b Note that the peak sidelobe of the aperiodic correlation of this sequence is 3, b refer to [21] for more details…”

Section: Introductionmentioning

confidence: 99%

Stochastic Replay of Non-WSSUS Underwater Acoustic Communication Channels Recorded at Sea

Socheleau

Laot²,

Passerieux³

2011

IEEE Trans. Signal Process.

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Introductionmentioning

confidence: 99%

Stochastic Replay of Non-WSSUS Underwater Acoustic Communication Channels Recorded at Sea

Socheleau

Laot²,

Passerieux³

2011

IEEE Trans. Signal Process.

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“…15 to 20 dB), this channel should make it possible to communicate at a rate of at least 2 to 3 bits/sec/Hz. This means that for channels similar to the one considered here, there is still a significant possible bitrate improvement with respect to existing SISO high data rate modems that usually operate around 1 bit/sec/Hz [23], [24]. Similarly, this also means that there should be a 5 to 10 dB margin between what is implemented today and the ultimate theoretical limits.…”

Section: B Achievable Rates Over An Experimental Doubly Selective Rimentioning

confidence: 89%

Achievable Rates over Doubly Selective Rician-Fading Channels under Peak-Power Constraint

Passerieux

Socheleau

Laot

2013

IEEE Trans. Wireless Commun.

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WOSInternational audienceWe derive a lower bound on the capacity of discrete-time Rician-fading channels that are selective both in time and frequency. The noncoherent setting is considered, where neither the transmitter nor the receiver knows a priori the actual channel realization. Single-input single-output communications subject to both average and peak power constraints are investigated. The lower bound assumes independent and identically distributed input data and is expressed as a difference between two terms. The first term is the information rate of the coherent channel with a weighted signal-to-noise ratio that results from the peak-power limitation. The second term is a penalty term, explicit in the Doppler spectrum of the channel, that captures the effect of the channel uncertainty induced by the noncoherent setting. The impact of channel selectivity and power constraints are discussed, and numerical applications on an experimental Rician channel surveyed in an underwater acoustic environment are also provided

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“…Many proposals are trying to deal with this problem from different perspectives, for instance trying to minimize the end-to-end latency, increase the throughput, increase the link reliability, optimize synchronization, and increase the network efficiency. Although all these results are useful to improve the network performance, none of them ensure an upper-bounded message delay [ 36 , 37 , 38 , 39 , 40 , 41 ].…”

Section: Related Workmentioning

confidence: 99%

Real-Time Communication Support for Underwater Acoustic Sensor Networks

Santos

Orozco

Micheletto

et al. 2017

Sensors

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Underwater sensor networks represent an important and promising field of research due to the large diversity of underwater ubiquitous applications that can be supported by these networks, e.g., systems that deliver tsunami and oil spill warnings, or monitor submarine ecosystems. Most of these monitoring and warning systems require real-time communication in wide area networks that have a low density of nodes. The underwater communication medium involved in these networks is very harsh and imposes strong restrictions to the communication process. In this scenario, the real-time transmission of information is done mainly using acoustic signals, since the network nodes are not physically close. The features of the communication scenario and the requirements of the communication process represent major challenges for designers of both, communication protocols and monitoring and warning systems. The lack of models to represent these networks is the main stumbling block for the proliferation of underwater ubiquitous systems. This paper presents a real-time communication model for underwater acoustic sensor networks (UW-ASN) that are designed to cover wide areas with a low density of nodes, using any-to-any communication. This model is analytic, considers two solution approaches for scheduling the real-time messages, and provides a time-constraint analysis for the network performance. Using this model, the designers of protocols and underwater ubiquitous systems can quickly prototype and evaluate their solutions in an evolving way, in order to determine the best solution to the problem being addressed. The suitability of the proposal is illustrated with a case study that shows the performance of a UW-ASN under several initial conditions. This is the first analytic model for representing real-time communication in this type of network, and therefore, it opens the door for the development of underwater ubiquitous systems for several application scenarios.

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Long range real-time underwater acoustic communication at low bit rate with channel coding protection

Cited by 3 publications

References 6 publications

Stochastic Replay of Non-WSSUS Underwater Acoustic Communication Channels Recorded at Sea

Stochastic Replay of Non-WSSUS Underwater Acoustic Communication Channels Recorded at Sea

Achievable Rates over Doubly Selective Rician-Fading Channels under Peak-Power Constraint

Real-Time Communication Support for Underwater Acoustic Sensor Networks

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