Statistical Bit Error Trace Modeling of Acoustic Communication Links Using Decision Feedback Equalization

Pelekanakis, Konstantinos; Legg, Matthew

doi:10.1109/joe.2013.2257571

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…Parrish et al [15] and the World Ocean Simulation System (WOSS) [22], [23] use a ray tracer and available environmental information to estimate propagation losses for network simulations, but do not consider the effect of delay and Doppler spread on physical-layer performance, except for considering signal energy received outside a certain delay spread as noise. Other approaches apply direct or stochastic replay of actual packet error or bit error sequences observed in experiments [24]- [26], but cannot be used to predict the performance of other physical-layer methods than those used in the experiment.…”

Section: Table I Dsss and Frss Parametersmentioning

confidence: 99%

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Otnes

Walree

Buen

et al. 2015

IEEE J. Oceanic Eng.

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An underwater acoustic network simulation methodology is presented that is based on lookup tables (LUTs) with physical-layer error ratios. These LUTs are prepared with a validated replay channel simulator, which is here driven by channel measurements from the Kauai Acomms MURI 2011 (KAM11) experiment. Three physical-layer candidates are considered: a coherent singlecarrier scheme, a coherent multicarrier scheme, and an incoherent scheme. The three modulation schemes are operated at a fixed message size and at four different data rates. Low rates are more robust to noise, interference, and channel dispersion, but also more prone to collisions in a network with busy traffic, because the packets are longer. Error statistics for colliding packets have been measured and are incorporated in the network simulator as collision LUTs. Example simulations are presented for a reduced flooding protocol with or without retransmissions. The results demonstrate how retransmissions pose a tradeoff between performance at high and low traffic load. The best network performance is obtained if the highest data rate is selected that yields a reasonably well-connected network. Collision avoidance is more important than the extended connectivity offered by low-rate signaling. On the other hand, at a given bit rate, a physical-layer scheme with extended connectivity but relatively weak links is shown to outperform a scheme with stronger links over fewer connections.

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Section: Table I Dsss and Frss Parametersmentioning

confidence: 99%

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Otnes

Walree

Buen

et al. 2015

IEEE J. Oceanic Eng.

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“…In [7], traces of error for the single carrier acoustic channel is analysed using DFE. The authors proposed a statistical model which includes a parent process and a few daughter process.…”

Section: Related Workmentioning

confidence: 99%

Impact of Equalizer step size in Underwater Acoustic Communication Channel

Narasu¹,

Rajkumar²,

Alexander³

et al. 2021

IJCNIS

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The Underwater Acoustic Channel (UAC) is a time variant channel and its multipath effects create ISI. This is one of the most important obstacles in the UAC channel which reduces the transmission rate. To remove this obstacle, a proper filter has to be designed in the receiver section. In this article, optimal step size for equalizer is computed and compared the results with the known techniques namely Decision Feedback Equalizer with interleave division multiple access (DFE IDMA) and Cyclic Prefix - Orthogonal Frequency Division Multiplexing (CP-OFDM) Equalizer. Channels are modeled using ray tracing methods. The various factors considered are ambient noise, attenuation loss, bottom and surface loss. The overall path loss for channels is computed by summing up the attenuation loss, surface and bottom loss. Simulation results evident that for short range UAC channel, the BER in the order of 10-2 is achieved using proposed methodology with least Eb/No compared to standard DFE method.

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“…Chitre et al [14] point out that network performance estimates require accurate packet error inputs. They propose a statistical scheme based on measured data from at-sea tests as an effective simulation framework, capturing a multitimescale bit error statistical environment to give link properties in close agreement with observation.…”

Section: Higher Layer Considerations Supporting Ad Hoc Networkingmentioning

confidence: 99%

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

Potter

2013

IEEE J. Oceanic Eng.

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Statistical Bit Error Trace Modeling of Acoustic Communication Links Using Decision Feedback Equalization

Cited by 5 publications

References 21 publications

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Impact of Equalizer step size in Underwater Acoustic Communication Channel

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

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