Position Estimation of Autonomous Underwater Sensors Using the Virtual Long Baseline Method

Dikarev, A. V.; Dmitriev, Stanislav; Kubkin, Vitaliy; Vasilenko, A. M.

doi:10.5121/ijwmn.2019.11202

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…Furthermore, experiments were conducted on UC&NL uWave modem units [4] (Figure 12a), with the layout scheme depicted in Figure 12c. Additionally, experiments under analogous conditions were conducted using physical (non-emulated) modem units from the company Evologics (Figure 12b).…”

Section: The Hardwarementioning

confidence: 99%

“…Underwater systems that operate simultaneously, including autonomous and remotely operated underwater vehicles (AUV/ROV), underwater sensors, and buoys, necessitate continuous data exchange [2][3][4][5]. The same principle applies to devices functioning as a part of group, considering the changing network geometry resulting from changes in the relative positions of these devices [6].…”

Section: Introductionmentioning

confidence: 99%

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Practical Steps towards Establishing an Underwater Acoustic Network in the Context of the Marine Internet of Things

Kebkal,

Kabanov,

Kramar

et al. 2024

Applied Sciences

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When several hydroacoustic modems operate simultaneously in an area of mutual coverage, collisions of data packets received from several sources may occur, which lead to information loss. With an increase in the number of simultaneously operating hydroacoustic modems, physical layer algorithms do not provide stable data transmission and the likelihood of collisions increases, which makes the operation of modems ineffective. To ensure effective operation in a hydroacoustic signal propagation environment and to reduce collisions when exchanging data between two modems that do not have the ability to operate synchronously and to reduce the access time to the signal propagation environment, methods of the medium access control layer using link layer protocols are required. Typically, this problem is solved using code separation of hydroacoustic channels. If you need to transfer over a network, this option will not work, since network transfer involves working on the basis of “broadcast” messages, particularly between data source and data sink that remain too far from each other, outside of their mutual audibility. In practical use, it is convenient to place these protocols into a software environment for developing specific user applications for solving network communication problems. This software framework allows for custom modification of existing network algorithms, as well as the inclusion of new network hydroacoustic communication algorithms. To build a predictive model, the DACAP, T-Lohi, Flooding, and ICRP protocols were used in this work. The implementation is performed in Erlang. The paper presents algorithms for implementing these protocols. A comparative analysis of network operation with and without protocols is provided. Efficiency of operation, i.e., data rates and probabilities of data delivery, was assessed.

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Section: The Hardwarementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Practical Steps towards Establishing an Underwater Acoustic Network in the Context of the Marine Internet of Things

Kebkal,

Kabanov,

Kramar

et al. 2024

Applied Sciences

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show abstract

“…Dikarev et al, in 2019 [11], presented a geometrical model based on ToA and the experimental results of localizing an AUV using acoustic transponders. They reported an accuracy comparable to GNSS systems.…”

Section: Introductionmentioning

confidence: 99%

Underwater Positioning System Based on Drifting Buoys and Acoustic Modems

Otero

Hernández-Romero

Luque-Nieto

et al. 2023

JMSE

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GNSS (Global Navigation Satellite System) positioning is not available underwater due to the very short range of electromagnetic waves in the sea water medium. In this article a LBL (Long Base Line) acoustic repeater system of the GNSS positioning is presented. The system is hyperbolic, i.e., based on time differences and it does not need very accurate atomic clocks to synchronize repeaters. The system architecture and system calculations that demonstrate the feasibility of the solution are presented. The system uses four buoys that sequentially transmit their position and the time of the instant of transmission, for which they are equipped with GNSS receivers and acoustic modems. The buoys can be fixed or even drifting, but they are inexpensive devices, which pose no hazard to navigation and can be easily and quickly deployed for a specific underwater mission. The multilateration algorithm used in the receiver is presented. To simplify the algorithm, the depth of the receiver, measured by a depth sensor, is used. Results are presented for the position error of an underwater vehicle due to its displacement during the transmission frame of the four buoys.

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Position Estimation of Autonomous Underwater Sensors Using the Virtual Long Baseline Method

Cited by 2 publications

References 12 publications

Practical Steps towards Establishing an Underwater Acoustic Network in the Context of the Marine Internet of Things

Practical Steps towards Establishing an Underwater Acoustic Network in the Context of the Marine Internet of Things

Underwater Positioning System Based on Drifting Buoys and Acoustic Modems

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