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

Socheleau, François-Xavier; Laot, Christophe; Passerieux, J.M.

doi:10.1109/tsp.2011.2160057

Cited by 63 publications

(52 citation statements)

References 36 publications

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“…This measured at sea data is fed to a stochastic replay-based channel simulator [15] to obtain new random TVIRs with statistical properties (almost) identical to the original measurement; these TVIRs are used for the actual simulation. The time-varying Doppler shift of this channel impulse response has been removed in order to mitigate the drift of multipath arrivals that could obscure the analysis of the taps statistics.…”

Section: Resultsmentioning

confidence: 99%

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

Chang

Socheleau

Laot

2016

OCEANS 2016 MTS/IEEE Monterey

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Abstract-This work presents experimental results for single carrier underwater communication systems using widely linear frequency domain equalization. The underwater channel models were obtained from a stochastic replay-based channel simulator, which was fed with data from channel measurements conducted in the harbor of Brest (France). It was seen that when symbols from improper constellations are considered it is possible to obtain a performance gain in this scenario for different conditions if widely linear equalization is used.

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Section: Resultsmentioning

confidence: 99%

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

Chang

Socheleau

Laot

2016

OCEANS 2016 MTS/IEEE Monterey

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“…The channel studied is an underwater acoustic channel recorded in the Mediterranean sea by Thales Underwater Systems in the vicinity of Sanary-sur-mer (Mediterranean Sea, France) in October 2004. Measurements were made at a carrier frequency of 6 kHz in a 1 kHz bandwidth, with a 60 to 120 m water depth, and a transmission range of 2500 m. This channel is relevant because its envelope is Rician-distributed [19] and also because the underwater environment fully fits in the scenario depicted in the introduction, i.e. the channel realizations are not known a priori to the transmitter and the receiver, and the peak power can be strongly constrained in the time domain because of the cost and volume of transmitting devices (amplifier and acoustic sources).…”

Section: B Achievable Rates Over An Experimental Doubly Selective Rimentioning

confidence: 99%

“…4 Note that the WSSUS assumption is here an approximation since • the conversion from a continuous-time channel to a discrete-time channel model, needed for the numerical evaluation, leads to partly correlated taps (see [20, ch. 2] for more details) • the taps' meanh l can be slowly time-varying as shown in [19], [21].…”

Section: B Achievable Rates Over An Experimental Doubly Selective Rimentioning

confidence: 99%

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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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“…In particular, van Walree et al [3] distinguish between the three following possible approaches: 3) Derive simulated channel conditions from environmental (physical) information (model-based simulations). Papers following the listed approaches include [4], [5], [6], where further references can be found.…”

Section: Introductionmentioning

confidence: 99%

Channel replay-based performance evaluation of protocols for underwater routing

Basagni

Petrioli

Petroccia

et al. 2014

2014 Oceans - St. John's

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The paper presents a comparative performance evaluation of two routing protocols for underwater wireless sensor networks (UWSNs). The two protocols are the ChannelAware Routing Protocol (CARP), exemplary of a cross layer approach to underwater routing, and a simple variation of common flooding, called EFlood, where performance is enhanced by introducing random re-transmission times. The scenarios we consider are obtained via simulations and from trials at sea performed under a collaboration agreement between the University of Roma "La Sapienza" and the NATO Science and Technology Organization Centre for Maritime Research and Experimentation (STO CMRE). Two sets of simulations results are shown where the physical layer is modeled by a ray-traced channel as well as by replaying real channel traces, under the same network configuration. Results are also reported from campaigns of experiments at sea. Comparing all results shows how channel replay mimics faithfully actual channel dynamics with respect to what is achievable through a simulated channel model, thus demonstrating the effectiveness of this technique for a fair and repeatable performance comparison of solutions for UWSNs.

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

Cited by 63 publications

References 36 publications

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

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

Channel replay-based performance evaluation of protocols for underwater routing

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