Study of probe signal bandwidth influence on estimation of coherence bandwidth for underwater acoustic communication channel

Kochańska, Iwona; Schmidt, J.; Schmidt, A.

doi:10.1016/j.apacoust.2021.108331

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…During the conduction of this study, the channel impulse response (CIR) measurement was performed by computing the autocorrelation function at the receiver, - using a continuous Pseudo-Random Binary Sequence (PRBS) as the probe signal -, to have an accurate description of the channels' propagation conditions in both the uplink and downlink directions. The PRBS signal's impulse-like autocorrelation function minimizes its influence on CIR estimation [6] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Experimental mmWave WiGig-based backhaul network dataset

Ferreira,

Raposo,

Figueiredo

et al. 2024

Data in Brief

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Experimental mmWave WiGig-based backhaul network dataset

Ferreira,

Raposo,

Figueiredo

et al. 2024

Data in Brief

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“…It should also be emphasized that having information about the current form of the channel impulse response is essential for the creation of modern communication systems. In [21], it was indicated that the coherence bandwidth is one of the key transmission parameters used for designing the physical layer of a data transmission system to minimize the influence of time dispersion on the received signal. It can be calculated on the basis of the channel impulse response measured with the use of the correlation method and frequency-modulated signals or pseudorandom binary sequences.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Impulse Responses Measured in Motion in a Towing Tank

et al. 2022

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The growing interest in developing autonomous underwater vehicles (AUVs) and creating underwater sensor networks (USNs) has led to a need for communication tools in underwater environments. For obvious reasons, wireless means of communication are the most desirable. However, conducting research in real conditions is troublesome and costly. Moreover, as hydroacoustic propagation conditions change very significantly, even during the day, the assessment of proposed underwater wireless communication methods is very difficult. Therefore, in the literature, there are considered simulators based on real measurements of underwater acoustic (UWA) channels. However, these simulators make an assumption that, during the transmission of elementary signals, the impulse response does not change. In this article, the authors present the results of the measurements realized in a towing tank where the transmitter could move with a precisely set velocity and show that the analyzed channel was non-stationary, even during the time of the transmission of a single chirp signal. The article presents an evaluation method of channel stationarity at the time of the chirp transmission, which should be treated as novelty. There is also an analysis of the impulse responses measured in motion in a towing tank.

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“…Unfortunately, the propagation of a sound wave in water is accompanied by many unfavorable phenomena that affect the overall quality of transmission expressed by the range of data transmission, bit error rate or bit rate. Among these phenomena, the most important are the multipath propagation leading to intersymbol interference and the Doppler effect which, due to the relatively low speed of sound propagation in the water environment, is hundreds of thousands of times stronger than that it is in the case of radio communication [ 2 ]. Besides, serious difficulties exist in obtaining relatively fast (about kilobits) and reliable (BER about 10 −3 ) transmission are caused by waters with intensive hydrotechnical infrastructure, such as ports [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…The physical phenomena associated with it are well known, what allows for the creation of simulators of hydroacoustic channels based on measurements carried out in various reservoirs and with various measurement methods [ 9 ]. Despite the extensive knowledge about the phenomena occurring during the propagation of acoustic waves in water [ 2 , 10 , 11 , 12 ], this environment is still a challenge in the field of designing underwater wireless communication systems. This is mainly due to the high variability of the propagation environment over time, especially in shallow waters [ 13 ], hence the great interest of reliable and efficient methods of wireless acoustic communication underwater.…”

Section: Introductionmentioning

confidence: 99%

A Method for Underwater Wireless Data Transmission in a Hydroacoustic Channel under NLOS Conditions

Mizeraczyk

Studański

Zak

et al. 2021

Sensors

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Wireless data transmission in the hydroacoustic channel under non-line-of-sight (NLOS) propagation conditions, for example, during a wreck penetration, is difficult to implement reliably. This is mostly due to the multipath propagation, which causes a reduction in the quality of data reception. Therefore, in this work an attempt has been made to develop a reliable method of wireless underwater communication test it under the NLOS conditions. In our method, we used multiple frequency-shift keying (MFSK) modulation, sending a single bit on two carriers, and diversity combining. The method was tested in laboratory conditions which simulated underwater signal propagation during the penetration of the wreck. The propagation conditions were investigated by determining the impulse responses at selected measurement points using the correlation method. Additionally, for comparison, the data transmission quality was determined by the bit error rate (BER) under the same conditions using direct sequence spread spectrum (DSSS) and binary phase shift keying (BPSK) modulation. The obtained results confirmed the usefulness of the application of the developed method for wireless data transmission in a hydroacoustic channel under NLOS conditions.

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Study of probe signal bandwidth influence on estimation of coherence bandwidth for underwater acoustic communication channel

Cited by 7 publications

References 9 publications

Experimental mmWave WiGig-based backhaul network dataset

Experimental mmWave WiGig-based backhaul network dataset

Analysis of Impulse Responses Measured in Motion in a Towing Tank

A Method for Underwater Wireless Data Transmission in a Hydroacoustic Channel under NLOS Conditions

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