An Approach for Diver Passive Detection Based on the Established Model of Breathing Sound Emission

Tu, Qiang; Yuan, Fei; Yang, Weidi; Cheng, En

doi:10.3390/jmse8010044

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…A wide range of information from the under-detected objects can be obtained with sonar technologies. Combined with algorithms, divers can be detected by their breathing sounds with passive sonar [ 144 ]. Nevertheless, its limit range is up to 40 m because the breathing sound is too weak, which could be covered by environmental noise.…”

Section: Underwater Inspectionsmentioning

confidence: 99%

Review of Underwater Sensing Technologies and Applications

Sun

Cui

Chen

2021

Sensors

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As the ocean development process speeds up, the technical means of ocean exploration are being upgraded. Due to the characteristics of seawater and the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply in the underwater environment directly. Especially for the seabed topography, it is impossible to carry out long-distance and accurate detection via electromagnetic waves. Therefore, various types of acoustic and even optical sensing devices for underwater applications have come into use. Equipped by submersibles, those underwater sensors can sense underwater wide-range and accurately. Moreover, the development of sensor technology will be modified and optimized according to the needs of ocean exploitation. This paper has made a summary of the ocean sensing technologies applied in some critical underwater scenarios, including geological surveys, navigation and communication, marine environmental parameters, and underwater inspections. In order to contain as many submersible-based sensors as possible, we have to make a trade-off on breadth and depth. In the end, the authors predict the development trend of underwater sensor technology based on the future ocean exploration requirements.

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Section: Underwater Inspectionsmentioning

confidence: 99%

Review of Underwater Sensing Technologies and Applications

Sun

Cui

Chen

2021

Sensors

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“…In ports and coastal water where they are often deployed, many backscattering objects and boundaries exist such as ship wreckage, port walls, sea beds, and water surfaces. Additionally, these environments have severe noises and reverberations [3], making it di cult to design the sonar for detection.…”

Section: Introductionmentioning

confidence: 99%

Structural Design and Test of a Piezoelectric Flextensional Transducer for Passive Detection of Frogmen

Sun

Chen

et al. 2022

Mathematical Problems in Engineering

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A piezoelectric flextensional transducer was designed using the finite element method (FEM) for the passive detection of underwater frogmen. By studying the main performance parameters of sonar transducers for the detection of frogmen around the world, this paper presents the advantages of active and passive sonar in this task and proposes a passive method for the detection of frogmen. Subsequently, a Cymbal transducer was selected considering the needs of the research. After introducing the principles and methods of the FEM analysis, the acoustic and electromechanical characteristics of the Cymbal transducer were verified under the influence of structural dimensions, e.g., resonance frequency, conductance, and susceptance. The electromechanical performance of the Cymbal transducer was simulated with a FEM to study how it is affected by static water pressure and processing errors and to demonstrate the feasible application of the Cymbal transducer in practical applications. In the end, a Cymbal prototype was tested to verify that the designed Cymbal transducer performs in compliance with the requirements and can be used for the passive detection of underwater frogmen with open-circuit breathing.

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“…Therefore, the implementation of the existing and the development of the application-specific filtering algorithms for the reconstruction of useful information from the noise-corrupted signals is an important field of scientific research within maritime and transport engineering [8]. The research has been focused on different areas of application, including underwater signal processing [9][10][11][12], radar signal processing [13,14], underwater image processing [15][16][17], optical signal processing [18], and other applications [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data

Lopac

Jurdana

Lerga

et al. 2021

JMSE

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The real-life signals captured by different measurement systems (such as modern maritime transport characterized by challenging and varying operating conditions) are often subject to various types of noise and other external factors in the data collection and transmission processes. Therefore, the filtering algorithms are required to reduce the noise level in measured signals, thus enabling more efficient extraction of useful information. This paper proposes a locally-adaptive filtering algorithm based on the radial basis function (RBF) kernel smoother with variable width. The kernel width is calculated using the asymmetrical combined-window relative intersection of confidence intervals (RICI) algorithm, whose parameters are adjusted by applying the particle swarm optimization (PSO) based procedure. The proposed RBF-RICI algorithm’s filtering performances are analyzed on several simulated, synthetic noisy signals, showing its efficiency in noise suppression and filtering error reduction. Moreover, compared to the competing filtering algorithms, the proposed algorithm provides better or competitive filtering performance in most considered test cases. Finally, the proposed algorithm is applied to the noisy measured maritime data, proving to be a possible solution for a successful practical application in data filtering in maritime transport and other sectors.

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An Approach for Diver Passive Detection Based on the Established Model of Breathing Sound Emission

Cited by 7 publications

References 25 publications

Review of Underwater Sensing Technologies and Applications

Review of Underwater Sensing Technologies and Applications

Structural Design and Test of a Piezoelectric Flextensional Transducer for Passive Detection of Frogmen

Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data

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