High-Rate Communication for Underwater Acoustic Channels Using Multiple Transmitters and Space–Time Coding: Receiver Structures and Experimental Results

Roy, Susmita; Duman, Tolga M.; McDonald, Vincent K.; Proakis, J.G.

doi:10.1109/joe.2007.899275

Cited by 245 publications

(144 citation statements)

References 17 publications

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“…For single carrier transmission, existing adaptive channel equalization algorithms are leveraged to deal with MIMO channels [34,35]. The data rate increases substantially.…”

Section: Multi-input Multi-output Techniquesmentioning

confidence: 99%

“…The data rate increases substantially. For example, a 12 kbps rate is achieved with 3 kHz bandwidth at the range of 2 km, leading to a bandwidth efficiency of 4 bits/sec/Hz, using six transmitters and QPSK modulation [35]. Due to OFDM's unique strength in handling long dispersive channels with low equalization complexity, the combination of MIMO and OFDM is another appealing solution for high data rate transmission but with low receiver complexity.…”

Section: Multi-input Multi-output Techniquesmentioning

confidence: 99%

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Prospects and problems of wireless communication for underwater sensor networks

Liu

Zhou

Cui

2008

Wireless Communications

355

101

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SummaryThis paper reviews the physical fundamentals and engineering implementations for efficient information exchange via wireless communication using physical waves as the carrier among nodes in an underwater sensor network (UWSN). The physical waves under discussion include sound, radio, and light. We first present the fundamental physics of different waves; then we discuss and compare the pros and cons for adopting different communication carriers (acoustic, radio, and optical) based on the fundamental first principles of physics and engineering practice. The discussions are mainly targeted at underwater sensor networks (UWSNs) with densely deployed nodes. Based on the comparison study, we make recommendations for the selection of communication carriers for UWSNs with engineering countermeasures that can possibly enhance the communication efficiency in specified underwater environments.

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“…For single carrier transmission, existing adaptive channel equalization algorithms are leveraged to deal with MIMO channels [34,35]. The data rate increases substantially.…”

Section: Multi-input Multi-output Techniquesmentioning

confidence: 99%

Section: Multi-input Multi-output Techniquesmentioning

confidence: 99%

Prospects and problems of wireless communication for underwater sensor networks

Liu

Zhou

Cui

2008

Wireless Communications

355

101

View full text Add to dashboard Cite

show abstract

“…Adaptive turbo equalization methods can be found in [16], [17], but they use only forward passes for the equalizer sweeps, which renders it difficult to deal with the variability of the channels. Moreover, unconditional hard symbol decisions in [16] and soft decisions in [17] are used for the update process, whereas conditional hard decisions are evaluated in our proposed receiver.…”

Section: Introductionmentioning

confidence: 99%

Adaptive turbo equalization for underwater acoustic communication

Cannelli

Leus

Dol

et al. 2013

2013 MTS/IEEE OCEANS - Bergen

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Abstract-In this paper a multiband transceiver designed for underwater channels is presented. Multi-branch filtering at the receiver is used to leverage the diversity offered by a multi-scale multi-lag scenario. The multi-branch bank of filters is constructed by estimating scale and delay coefficients through an initial preamble composed by a maximum length sequence. An intelligent design of the pulse shaper at the transmitter and the receiver permits the reduction of the complexity of the equalization algorithm: the effective channel can be seen as a simple time-invariant finite impulse response filter possibly affected by a carrier frequency offset. Adaptive turbo equalization is chosen to deal with the high time-variability which characterizes many underwater channels and also to avoid the burden of estimating all parameters of the different paths. A phase locked loop and recursive least squares algorithm is implemented on each branch and for each subband which sweep the received sequence several times to refine decoding; in order to enhance the receiver performance the updating of the equalizer taps is obtained by making use of soft information provided as feedbacks from the turbo decoder. The proposed transceiver is tested on a realistic channel obtained by channel soundings performed in the Lyme Bay area, South England. Also comparisons with other existing turbo equalizer schemes are performed.

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“…However, the limitation of frequency bandwidth in underwater acoustic channel results in low rate of original data [5][6][7][8][9]. Some researches focusing on high rate of underwater acoustic communication have been made [10,11], but how to put them to use in the situation of multiuser has not been reported yet. Reference [12] proposed a novel multichannel detection technique based on adaptive multichannel receiver to realize high dada rate in multiuser underwater acoustic communication.…”

Section: Introductionmentioning

confidence: 99%