A Single-Carrier Turbo-Coded System for Underwater Communications

Karasalo, Ilkka; Oberg, T.; Nilsson, B.; Ivansson, Sven

doi:10.1109/joe.2013.2278892

Cited by 21 publications

(16 citation statements)

References 18 publications

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“…Typically, such models consider propagation in a range-depth plane, ignoring scattering out of the plane. Karasalo et al [5] introduce a new simulation tool that includes 3-D effects due to a rough bottom and study the effects on a representative high-speed modem. The limited frequency range that is practical for acoustic communications in water drives system designers to use very wideband signals to maximize the information transfer rate, but this incurs complications as the propagation physics can vary significantly over the band, as discussed by van Walree and Otnes [6].…”

Section: A Physical Acoustic Channel Propertiesmentioning

confidence: 99%

UComms: A Conference and Workshop on Underwater Communications, Channel Modeling, and Validation

Potter

2013

IEEE J. Oceanic Eng.

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Section: A Physical Acoustic Channel Propertiesmentioning

confidence: 99%

UComms: A Conference and Workshop on Underwater Communications, Channel Modeling, and Validation

Potter

2013

IEEE J. Oceanic Eng.

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“…In its original version, see [11] and [12], incoherent summation of ray contributions was used. For applications to underwater acoustic communications, a version with dynamic ray tracing, coherent ray summation, and inclusion of Doppler effects has recently been developed [10]. Some extensions have now been made to handle a possible ice sheet on top of the water column.…”

Section: The Rev3d Propagation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Acoustic underwater communication has been studied at FOI for some time both theoretically and experimentally using robust, iterative equalization methods and turbo codes [10]. Extending an in-house underwater communication modeling tool [10] to include the three-dimensional ray tracing model alluded to above, underwater communication under rough ice is studied next. Considering the decrease in received signal-to-noise ratio and possibly prolonged time delay profiles from increased multipath caused by the presence of the ice we expect shorter communication ranges or increased bit error rates compared to ice-free situations.…”

Section: Introductionmentioning

confidence: 99%

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Under-ice shallow-water sound propagation and communication in the Baltic Sea

Sangfelt

Ivansson

Karasalo

2013

The Journal of the Acoustical Society of America

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Sound propagation under ice in the Baltic is of interest for military as well as civilian purposes. Important questions are, for example, how sonar systems are affected by ice in shallow waters and how marine mammal life under ice is affected by ship traffic. Changing climate and increasing ship traffic are factors of great concern also in the Arctic region. Modeling results for sound propagation under ice in the Baltic Sea are presented, focusing on high frequencies. The sound propagation is influenced by bottom as well as ice-cap interaction in these shallow waters. The low-and high-frequency modeling is performed with wavenumber and ray models, respectively. Both types of models are amended to include a solid ice layer on top of the water column. In addition, the modeling efforts are extended to study the performance of an underwater communication system developed at FOI. Sea trials in the Gulf of Bothnia are planned, under ice-covered as well as ice-free conditions, to evaluate the modeling results.

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“…The author addressed [3] the multi-carrier modulation can be considered to mitigate the effects of rich multipath propagation and hence by using OFDM symbol longer than multipath spread, the effects of ISI can be eliminated for the transmission of information in underwater communication.…”

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confidence: 99%

Performance of turbo coded MIMO-OFDM system for underwater communications

Nelson¹,

Vishvaksenan²,

Rajendran³

2014

2014 International Conference on Communication and Signal Processing

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In this correspondence, we consider the performance of Multi-Input Multi-Output (MIMO) assisted multi-carrier (MC) modulated system for the transmission of the acoustic signal in underwater communications. In underwater communications, acoustic interference and ambient noise are the two major channel impairments. In our work, we consider turbo code as channel encoder and at the receiver, we employ iterative decoding algorithm to alleviate the effects of ambient noise and acoustic interference. We implement IFFT block at the transmitter and FFT block at the receiver to realize multi-carrier modulation. Particularly, we investigate the effects of eleven tap delay pertaining to shallow water model in the context of coded MIMO-OFDM system. At the receiver, we realize non-linear detector based on zero-forcing (ZF) algorithm. It is shown through simulation results that MIMO-OFDM system with ZF algorithm provides achievable bit error rate with less signal-to noise ratio using iterative decoding algorithm ..

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A Single-Carrier Turbo-Coded System for Underwater Communications

Cited by 21 publications

References 18 publications

UComms: A Conference and Workshop on Underwater Communications, Channel Modeling, and Validation

UComms: A Conference and Workshop on Underwater Communications, Channel Modeling, and Validation

Under-ice shallow-water sound propagation and communication in the Baltic Sea

Performance of turbo coded MIMO-OFDM system for underwater communications

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