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Готові списки джерел за темами / Modeling of hydroacoustic signals / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Modeling of hydroacoustic signals.

Статті в журналах з теми "Modeling of hydroacoustic signals"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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1

Nejevenko, E. S., and A. A. Sotnikov. "Adaptive modeling for hydroacoustic signal processing." Pattern Recognition and Image Analysis 16, no. 1 (January 2006): 5–8. http://dx.doi.org/10.1134/s1054661806010020.

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2

Kuznetsov, Mikhail Yu, and Yury A. Kuznetsov. "Hydroacoustic methods and tools for fish stock assessment and fishery maintenance Part 2. Methods and tools of fishery biohydroacoustics." Izvestiya TINRO 184, no. 1 (March 30, 2016): 264–94. http://dx.doi.org/10.26428/1606-9919-2016-184-264-294.

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Анотація:

Studies on influence of hydroacoustic fields on behaviour of commercial species and using of hydroacoustic tools for management of fish and squids behavior to increase the fishing efficiency are overviewed. The methods and means of fisheries biohydroacoustics are considered critically and the reasons of their unsatisfactory using in fishery are analyzed. Sounds with a certain spectrum and level are still applied for influence on fish behaviour without sufficient scientific and technical substantiation, so a complex approach to development of effective hydroacoustic tools for remote control of fish movement is necessary. Results of studies on acoustic reception and acoustic activity for schooling physostomous fishes are presented. Spectral-power and temporal parameters of the sounds and their frequency differentiation by fish size are determined. Sound-generating mechanisms of fish are considered and signal significances of the sounds radiated by fish are recognized. Stereotypes of acoustic behaviour are revealed for toothed whales during their hunting upon fish: these predatory cetaceans have special acoustic manipulators able to generate signals for concentration and holding the fish, adapted for hearing system of the prey. Results of hydrobionic modelling of organs and mechanisms for sound generation of marine animals and their technical realization in hydroacoustic devices are presented. The developed devices allow to generate underwater pulse sound signals simulating biological signals of certain physostomous fish species and predatory cetaceans (dolphins and killer whales). Efficiency of these simulating signals influence on behaviour of fish is proved by behavioral experiments and fishing tests. Applications of these devices for various fisheries are discussed.

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3

Kryukov, Yu S., and E. O. Cherepanov. "SOFTWARE FOR PROCESSING HYDROACOUSTIC SIGNALS, MODELING AND REMOTE EVALUATION OF THE COORDINATES OF THE TRIGGERING OF UNDERWATER PULSED SOURCES." Journal of Oceanological Research 46, no. 2 (October 18, 2018): 37–46. http://dx.doi.org/10.29006/1564-2291.jor-2018.46(2).4.

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4

Hamama, Islam, Masa-yuki Yamamoto, Mohamed N. ElGabry, Noha Ismail Medhat, Hany S. Elbehiri, Adel Sami Othman, Mona Abdelazim, Ahmed Lethy, Sherif M. El-hady, and Hesham Hussein. "Investigation of near-surface chemical explosions effects using seismo-acoustic and synthetic aperture radar analyses." Journal of the Acoustical Society of America 151, no. 3 (March 2022): 1575–92. http://dx.doi.org/10.1121/10.0009406.

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Chemical explosions are ground truth events that provide data, which, in turn, can enhance the understanding of wave propagation, damage assessment, and yield estimation. On 4 August 2020, Beirut, Lebanon was shocked by a catastrophic explosion, which caused devastating damage to the Mediterranean city. A second strong chemical explosion took place at the Xiangshui, China chemical plant on 21 March 2019. Both events generated shock waves that transitioned to infrasound waves, seismic waves, as well as hydroacoustic signals with accompanying T-phases in the case of the Beirut event. In this work, the seismo-acoustic signatures, yields, and associated damage of the two events are investigated. The differentiainterferometry synthetic aperture radar analysis quantified the surface damage and the estimated yield range, equivalent to 2,4,6-trinitrotoluene [C7H5(NO2)3] (TNT), through a “boom” relation of the peak overpressure was evaluated. Infrasound propagation modeling identified a strong duct in the stratosphere with the propagation to the west in the case of the Beirut-Port explosion. In the case of the Xiangshui explosion, the modeling supports the tropospheric propagation toward the Kochi University of Technology (KUT) sensor network in Japan. Although the Beirut yield (202–270 ± 100 tons) was slightly larger than the Xiangshui yield (201 ± 83.5 tons), the near-source damage areas are almost the same based on the distribution of damaged buildings surrounding the explosions.

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5

ZAITSEVA, Irina N. "ERROR ESTIMATION OF THE ALGORITHM FOR THE PHASE SHIFT DEFINITION OF HARMONIC SIGNALS IN THE TIMELESS THAN THE SIGNAL PERIOD USING STOCHASTIC SAMPLING." Periódico Tchê Química 17, no. 36 (December 20, 2020): 213–22. http://dx.doi.org/10.52571/ptq.v17.n36.2020.229_periodico36_pgs_213_222.pdf.

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Determining the parameters of a harmonic signal is one of the most common types of measurements in radio engineering, communication engineering, electronics and automation systems. The research and development of new methods for measuring the harmonic signal parameters are relevant. This work studied algorithm errors for determining the phase shift of harmonic signals using stochastic sampling. The relevance of this study is dictated by increasing requirements for the accuracy and speed of measuring equipment, the reduction of time it takes to decide on the presence of a signal while searching for it, that make it necessary to use statistically optimal methods for measuring signal parameters. The work aimed to develop an algorithm and estimate its errors for the possibility of practical implementation of the algorithm for processing infra-lowfrequency radio signals during stochastic sampling. According to the uniform distribution law, the instantaneous values in each sample of the signals under investigation are based on stochastic sampling in time. Mathematical modeling of algorithm errors for determining the phase shift of signals with harmonics, and depending on harmonics compared to the first (main) harmonic of the signal under investigation during the sampling by real analog-to-digital converters have been carried out. The obtained values of the algorithm errors for determining the phase shift of the main harmonic are within an acceptable range (30%); at harmonics amplitudes (up to the 3rd harmonic) within 20%. The computing experiment results for estimating the algorithm errors confirm the possibility of obtaining high accuracy in determining the phase shift of harmonic signals. This algorithm can be used for processing infra-low-frequency radio signals with sufficient accuracy in acoustics, hydroacoustics, seismic acoustics, underwater, and underground communication.

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6

Alexandrov, V., A. Buyanov, L. Markova, and M. Sivers. "Researching Digital Methods of Generation Signals of Hydroacoustic Phased Antenna Grids." Proceedings of Telecommunication Universities 7, no. 1 (March 31, 2021): 42–53. http://dx.doi.org/10.31854/1813-324x-2021-7-1-42-53.

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Solving tasks of creation, correction and parametric control of signals excitation hydroacoustic phased antenna grids is actual problem of creating multichannel generated devices, based on switch-mode amplifiers with pulse-width modulation. In this article were reviewed correction methods output signals of hydroacoustic transmission paths, periodic pulse sequence creation and parametric voltage level control of excitation channels of phased antenna grid with abrupt decrease impedance of hydroacoustic converters. Was shown the perspective implementation digital technologies for improvement parameters modes of hydrolocation with deterministic library of signals. Presented digital control methods of output signals in hydroacoustic transmission paths are characterized by scientific novelty and originality of the proposed technical decisions.

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7

Kasatkin, B. A., N. V. Zlobina, S. B. Kasatkin, and G. V. Kosarev. "Spectral-Correlation Signal Processing in the Infrasonic Frequency Range." IOP Conference Series: Earth and Environmental Science 988, no. 3 (February 1, 2022): 032065. http://dx.doi.org/10.1088/1755-1315/988/3/032065.

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Abstract The article discusses hydroacoustic receiving systems, consisting of combined receivers, and the processing of the received hydroacoustic signals. Each module of the sonar system has four channels for receiving information. Spectral processing was carried out using sixteen information parameters, which made it possible to achieve the maximum noise immunity of the receiving system. Correlation processing of signals confirmed the high correlation of signals on the elements of the receiving hydroacoustic system.

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8

Butyrskiy, Evgeniy, N. V. Mercachev, and Vitaliy Rahuba. "Spectral method of forming complex hydroacoustic signals." National Security and Strategic Planning, no. 2 (August 15, 2021): 38–51. http://dx.doi.org/10.37468/2307-1400-2021-2-38-51.

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The article discusses the problem of synthesis of complex broadband signals in the spectral area. It is shown that the formation of complex broadband signals in the spectral area allows to determine the classes of signals that have good resolution in range and speed. Mathematical models of uncertainty functions for polyharmonic and strip signals are presented.

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9

Seletkov, V. L. "Methods of spectral identification of hydroacoustic signals." Radioelectronics and Communications Systems 51, no. 6 (June 2008): 335–38. http://dx.doi.org/10.3103/s0735272708060083.

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10

Sknarya, Anatoly V., Anatoly A. Razin, Sergey A. Toshchov, and Aleksey I. Demidov. "ULTRA WIDEBAND SOUNDING SIGNALS IN HYDROACOUSTIC SYSTEMS." Radioelectronics. Nanosystems. Information Technologies 10, no. 2 (October 2018): 209–12. http://dx.doi.org/10.17725/rensit.2018.10.209.

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11

Filippov, B. I., and G. A. Chernetsky. "CHOICE OF SIGNALS FOR HYDROACOUSTIC COMMUNICATION CHANNELS." Vestnik of Ryazan State Radio Engineering University 59, no. 1 (2017): 42–52. http://dx.doi.org/10.21667/1995-4565-2017-59-1-42-52.

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12

Heaney, Kevin D., Mark Prior, and Richard L. Campbell. "Bathymetric diffraction of basin-scale hydroacoustic signals." Journal of the Acoustical Society of America 141, no. 2 (February 2017): 878–85. http://dx.doi.org/10.1121/1.4976052.

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13

Gavrishev, A. A. "ON THE EVALUATION OF THE CREST FACTOR OF BIONIC SIGNALS USED IN HYDROACOUSTIC COMMUNICATION SYSTEMS." NAUCHNOE PRIBOROSTROENIE 31, no. 3 (August 31, 2021): 37–45. http://dx.doi.org/10.18358/np-31-3-i3745.

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In this article, the authors evaluated the crest factor of bionic signals used in hydroacoustic communication systems, using the example of the study of signals based on the use of recordings of sounds of various whale species. The calculations and literature analysis show that the sound recordings of the following whale species have an acceptable crest factor value (p ≤ 4): Blue whale, Alaska humpback whale, Atlantic blue whale and Northeast Pacific blue whale. Recordings of the sounds of these types of whales should be used in the appropriate hydroacoustic communication systems. In contrast, recordings of the sounds of such whale species as Atlantic fin whale, Atlantic minke whale, South Pacific blue whale, and Western Pacific blue whale have an increased crest factor value (p > 4) and without adaptation, it is impractical to use them in appropriate hydroacousticcommunication systems. It is established that bionic signals used in hydroacoustic communication systems, based on the example of the study of signals based on the use of recordings of sounds of various species of whales, can have both an acceptable value of the crest factor or an increased one. It is advisable to pay attention of the de-velopers and manufacturers of the corresponding hydroacoustic communication systems to this conclusion during designing, testing and implementation of such systems.

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14

Angell, Jeffrey, Ted Farrell, and Jay Pulli. "Characterization of reflected hydroacoustic signals for ctbt localization." Journal of the Acoustical Society of America 105, no. 2 (February 1999): 1038. http://dx.doi.org/10.1121/1.424953.

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15

Coombs, Sheryl. "The swimming motions of fish as hydroacoustic signals." Journal of the Acoustical Society of America 125, no. 4 (April 2009): 2505. http://dx.doi.org/10.1121/1.4783398.

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16

Getmanov, V. G., and A. A. Firsov. "Approximate Filtration of Noise Reflections in Hydroacoustic Signals." Measurement Techniques 56, no. 8 (November 2013): 919–27. http://dx.doi.org/10.1007/s11018-013-0307-x.

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17

Studański, Ryszard, and Andrzej Zak. "Measurement of Hydroacoustic Channel Impulse Response." Applied Mechanics and Materials 817 (January 2016): 317–24. http://dx.doi.org/10.4028/www.scientific.net/amm.817.317.

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The article describes the method of determining the hydroacoustic channel impulse response using signals modulated by pseudo-random sequence. Moreover, exemplary impulse responses determined in the laboratory conditions were presented.

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18

Павликов, С. Н., Е. Ю. Копаева, Ю. Ю. Колесов, П. Н. Петров, and А. Н. Крючков. "Hydroacoustic communication method." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, no. 1(55) (March 3, 2022): 208–14. http://dx.doi.org/10.37220/mit.2022.55.1.028.

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Анотація:

Развитие инфокоммуникационных систем требует повышения эффективности использования акустических методов. Однако, совершенствование гидроакустической связи связано с высокой нелинейностью и нестационарностью канала. Происходят раскоорреляция сигнала за счет трансформации в пространстве и во времени. Приемник не видит ожидаемого сигнала с заданными параметрами. Морских интеллектуальных систем кроме радиоволн могут и должны использовать гидроакустические сигналы. В работе предлагается новый способ гидроакустической связи, учитывающий высокие требования к мобильности и пропускной способности инфокоммуникационных технологий морских интеллектуальных систем. Целью работы является повышение качества гидроакустической связи путем тестирования канала и передачи части функций обработки в среду распространения. Актуальность связана с возрастанием требований по увеличению пропускной способности морских интеллектуальных систем между абонентами включая и гидроакустические каналы. Но для этого нужна новая технология, приведенная в данной работе и основанная на повышении помехозащищенности при увеличении допустимых скоростей взаимного перемещения путем увеличения коэффициента взаимной корреляции прошедшего канал и ожидаемого сигнала. Метод решения поставленных задач основан на анализе развития и прогнозировании технологий звукоподводной связи. Новизна заключается в использовании мониторинга передаточной характеристики гидроакустического канала между абонентами с использованием специальных сигналов и методов их обработки. Основные выводы: при незначительных изменениях процессов метода гидроакустического обмена информацией между легитимными абонентами достигнуто повышение качества связи. The development of infocommunication systems requires an increase in the efficiency of the use of acoustic methods. However, the improvement of hydroacoustic communication is associated with high nonlinearity and non-stationarity of the channel. There is a decoorrelation of the signal due to transformation in space and time. The receiver does not see the expected signal with the specified parameters. Marine intelligent systems can and should use sonar signals in addition to radio waves. Vessels, except for research and fishing, do not use hydroacoustics to solve telecommunications problems. The paper proposes a new method of hydroacoustic communication, taking into account the high requirements for mobility and bandwidth of infocommunication technologies of marine intelligent systems. The aim of the work is to improve the quality of hydroacoustic communication by testing the channel and transferring part of the processing functions to the distribution environment. Relevance is associated with the increasing requirements for increasing the capacity of marine intelligent systems between subscribers, including sonar channels. But this requires a new technology, given in this work and based on increasing noise immunity while increasing the permissible speeds of mutual movement by increasing the coefficient of mutual correlation of the past channel and the expected signal. The method of solving the tasks is based on the analysis of the development and forecasting of sound-submarine communication technologies. The novelty lies in the use of monitoring the transfer characteristics of the sonar channel between subscribers using special signals and methods of their processing. The main conclusions: with minor changes in the processes of the method of hydroacoustic exchange of information between legitimate subscribers, an increase in the quality of communication has been achieved.

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19

Kamenev, O. T., Yu S. Petrov, A. A. Podlesnykh, V. A. Kolchinskii, I. N. Zavestovskaya, Yu N. Kulchin, and R. V. Romashko. "Recording of Hydroacoustic Signals Using a Fiber-Optic Accelerometer." Bulletin of the Lebedev Physics Institute 47, no. 5 (May 2020): 146–48. http://dx.doi.org/10.3103/s1068335620050048.

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20

Shpilewski, E., and M. Szpilewski. "Classification and Detection of Changes in the Hydroacoustic Signals." IFAC Proceedings Volumes 34, no. 7 (July 2001): 197–202. http://dx.doi.org/10.1016/s1474-6670(17)35082-6.

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21

Koltakov, S. A., and A. A. Cherepnev. "HARDWARE-SOFTWARE COMPLEX FOR DIGITAL PROCESSING OF HYDROACOUSTIC SIGNALS." Issues of radio electronics, no. 5 (June 8, 2019): 60–63. http://dx.doi.org/10.21778/2218-5453-2019-5-60-63.

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The article describes the hardware‑software complex (HSC) based on the debugging stand, its composition, modules and operations. A method for synthesizing the output signal is described, a formula and a table of parameters for its calculation are given. Signals and spectra at the input and output of the developed HSC are shown. The obtained parameters of the performance of various agribusiness, based on the signal processor with a General‑purpose processor and two variants with General‑purpose processors. The proposed version of the HSC2–3 times wins in performance compared to the HSC based on the general‑ purpose processor of Intel. This is achieved through the use of modern methods and programming tools, digital signal processing modules, as well as the optimization of the executable code. Recommendations for possible further improvement of the proposed complex are given, which is possible due to the use of modern FPGAs and high‑speed interface.

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22

Malyshkin, G. S., and G. B. Sidel’nikov. "Optimal and adaptive methods of processing hydroacoustic signals (review)." Acoustical Physics 60, no. 5 (September 2014): 570–87. http://dx.doi.org/10.1134/s1063771014050091.

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23

Gladkov, A. I. "A method of digital spectral analysis of hydroacoustic signals." Physical Oceanography 6, no. 4 (July 1995): 319–23. http://dx.doi.org/10.1007/bf02197612.

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24

Prokopovich, V. V., and A. V. Shafranyuk. "Model of Signal Mark Detection in a Passive Sonar System." IOP Conference Series: Materials Science and Engineering 1215, no. 1 (January 1, 2022): 012009. http://dx.doi.org/10.1088/1757-899x/1215/1/012009.

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Abstract Modeling of broadband and narrowband signal mark detection is widely used for sonar and radar systems. In this work, the problem is considered in relation to hydroacoustics. The paper describes the formation of a stream of correctly detected and false signal marks and calculation of estimates of their parameters, taking into account the antenna characteristics as well as the processing parameters of the system being simulated. Also considered are the realistic distribution of false signal marks by heading angles and the influence of the Doppler effect on the estimation of the mark parameters. The resulting model can be used in simulation systems, in the formation of a stream of detected signal marks, and the development of tracking algorithms. The model can be also used for predictive calculations that determine the probability of detecting signal sources and their characteristics

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25

Talandier, Jacques, Olivier Hyvernaud, Pierre F. Piserchia, and Emile A. Okal. "Long‐range detection of hydroacoustic signals from large Antarctic icebergs." Journal of the Acoustical Society of America 112, no. 5 (November 2002): 2230–31. http://dx.doi.org/10.1121/1.4778831.

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26

Kaevitser, V. I., and V. M. Razmanov. "Remote sea bottom sounding by hydroacoustic systems with complex signals." Uspekhi Fizicheskih Nauk 179, no. 2 (2009): 218. http://dx.doi.org/10.3367/ufnr.0179.200902k.0218.

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27

Malyshkin, G. S., and A. V. Shafranyuk. "Adaptive resolution of broadband hydroacoustic signals with partially coherent structure." Acoustical Physics 59, no. 5 (September 2013): 565–79. http://dx.doi.org/10.1134/s1063771013040106.

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28

Borodulin, V. Yu, A. A. Dekterev, P. A. Kuibin, A. V. Minakov, G. A. Semenov, and A. V. Zakharov. "On modeling runner included into a hydroacoustic system." IOP Conference Series: Earth and Environmental Science 240 (March 27, 2019): 022047. http://dx.doi.org/10.1088/1755-1315/240/2/022047.

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29

Vracar, Miodrag, and Nenad Kovacevic. "Vibration of the vessel and bispectrum of hydroacoustic noise." Facta universitatis - series: Physics, Chemistry and Technology 7, no. 1 (2009): 45–60. http://dx.doi.org/10.2298/fupct0901045v.

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The origin of vessels vibrations is dominantly determined by vessels propulsion system, auxiliary systems, pumps, breaking of the waves at the ship hull, etc. All of these systems contribute to the appearance of the underwater sound in water environment. As a source of underwater sound, vessels has the characteristic of directivity. Vibration of the vessel's structure is analyzed using spectra, but hydroacoustic signals are analyzed using spectra and higher order spectral analysis - bispectra. The measuring of the radiated hydroacoustic noise was done simultaneously with multi channel measurements of the vessels vibrations at few characteristics positions of the vessel.

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30

Zamarenova, L. N., E. V. Kotel'nikova, and M. I. Skipa. "Energy loss model for hydroacoustic information offshore nets." Electronics and Communications 16, no. 5 (May 29, 2012): 70–74. http://dx.doi.org/10.20535/2312-1807.2011.16.5.247754.

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The power loss model when the signals propagating in the information network hydroacoustic channel on the shelf is considered. The experimental signal propagation power loss data are described by the trend approximated using the functions of the exponential and polynomial type. It is shown that in the case of the signal propagation in the bottom sound channel the trend is described by this approximating functions with the confidence no less than 0,9

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31

Galkin, O. P., and S. D. Pankova. "Spatial correlation of hydroacoustic signals in a biaxial underwater sound channel." Acoustical Physics 46, no. 4 (July 2000): 400–404. http://dx.doi.org/10.1134/1.29900.

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32

Wilmut, M. J., N. R. Chapman, and M. Prior. "Detection of $H$-Phase Signals From Hydroacoustic Data Using Quadratic Classification." IEEE Journal of Oceanic Engineering 35, no. 3 (July 2010): 618–22. http://dx.doi.org/10.1109/joe.2010.2053771.

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33

Balanche, A., C. Guennou, J. Goslin, and C. Mazoyer. "Generation of hydroacoustic signals by oceanic subseafloor earthquakes: a mechanical model." Geophysical Journal International 177, no. 2 (May 2009): 476–80. http://dx.doi.org/10.1111/j.1365-246x.2009.04146.x.

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34

Pereselkov, Sergey A., and Venedikt M. Kuz'kin. "Interferometric processing of hydroacoustic signals for the purpose of source localization." Journal of the Acoustical Society of America 151, no. 2 (February 2022): 666–76. http://dx.doi.org/10.1121/10.0009381.

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35

Villouvier, Véronique. "Hydroacoustic modeling of the butterfly valves ‐ some industrial applications." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3316. http://dx.doi.org/10.1121/1.2933776.

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36

Filippov, B. I., and A. S. Shchedrina. "Imitation modeling of antenna of a hydroacoustic communication channel." Journal of Physics: Conference Series 1260, no. 10 (August 2019): 102004. http://dx.doi.org/10.1088/1742-6596/1260/10/102004.

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37

Summerfelt, Steven T., Kyle H. Holland, Joseph A. Hankins, and Martin D. Durant. "A hydroacoustic waste feed controller for tank systems." Water Science and Technology 31, no. 10 (May 1, 1995): 123–29. http://dx.doi.org/10.2166/wst.1995.0368.

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The objective of this work was to develop a commercially viable method to reduce waste feed and thus improve production efficiency and reduce discharge of solids and nutrients within tank based aquaculture systems. We developed and custom fabricated a feeding controller which uses ultrasound to detect uneaten feed and controls feeding events based upon appetite satiation as measured by the quantity of waste feed detected. During feeding, the developed device functions as a combination ultrasonic detector, feedback controller, and interval timer. The device functions as a feedback controller by ultrasonically sampling the stock tank effluent and turning off the feeder when an excessive amount of feed enters the effluent flow. After feeding has been inactivated, the ultrasonic waste feed controller operates as an interval timer and provides a user selected delay between feedings. A custom hydroacoustic probe assembly was developed to detect uneaten feed. The controller can be calibrated by adjusting the transducer signal gain to detect signals resulting from feed pellets, while reducing signals resulting from faeces. The controller has an adjustable set-point for deactivating the feeder circuit based upon the number of feed pellets detected by the transducer and a programmable delay time interval (from 5 to 160 min) to set the time between feedings. The controller also has an adjustable sampling rate for detection at different pipe velocities and an adjustable observation volume for use in standard 2, 3, 4 and 6 inch diameter effluent pipes. The cost in materials and labour to produce this waste feed controller was estimated at around $100 (U.S.).

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38

Kaplun, Dmitry, Alexander Voznesensky, Sergei Romanov, Valery Andreev, and Denis Butusov. "Classification of Hydroacoustic Signals Based on Harmonic Wavelets and a Deep Learning Artificial Intelligence System." Applied Sciences 10, no. 9 (April 29, 2020): 3097. http://dx.doi.org/10.3390/app10093097.

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This paper considers two approaches to hydroacoustic signal classification, taking the sounds made by whales as an example: a method based on harmonic wavelets and a technique involving deep learning neural networks. The study deals with the classification of hydroacoustic signals using coefficients of the harmonic wavelet transform (fast computation), short-time Fourier transform (spectrogram) and Fourier transform using a kNN-algorithm. Classification quality metrics (precision, recall and accuracy) are given for different signal-to-noise ratios. ROC curves were also obtained. The use of the deep neural network for classification of whales’ sounds is considered. The effectiveness of using harmonic wavelets for the classification of complex non-stationary signals is proved. A technique to reduce the feature space dimension using a ‘modulo N reduction’ method is proposed. A classification of 26 individual whales from the Whale FM Project dataset is presented. It is shown that the deep-learning-based approach provides the best result for the Whale FM Project dataset both for whale types and individuals.

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39

I., CIOCIOI. "Coastal hydroacoustic surveillance." Scientific Bulletin of Naval Academy XXIV, no. 1 (July 15, 2021): 139–44. http://dx.doi.org/10.21279/1454-864x-21-i1-017.

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Coastal hydroacoustic surveillance network is necessary to identify submarines in due time and to have an anti-submarine protection at shores. A solution to detect, localize and track silent submarines in coastal waters is one to build a multi-static sonar network (MSN), which offers a numerous advantage compared to a monostatic network.

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40

Lillis, Ilse Van, and Olaf Boebel. "Marine soundscape planning: Seeking acoustic niches for anthropogenic sound." Journal of Ecoacoustics 2, no. 1 (March 29, 2018): 1. http://dx.doi.org/10.22261/jea.5gsnt8.

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Both marine mammals and hydroacoustic instruments employ underwater sound to communicate, navigate or infer information about the marine environment. Concurrent timing of acoustic activities using similar frequency regimes may result in (potentially mutual) interference of acoustic signals when both sources are within audible range of the recipient. While marine mammal fitness might be negatively impacted upon, both on individual and population level, hydroacoustic studies may generate low quality data or suffer data loss as a result of bioacoustic interference. This article pursues, in analogy to landscape planning, the concept of marine soundscape planning to reconcile potentially competing uses of acoustic space by managing the anthropogenic sound sources. We here present a conceptual framework exploring the potential of soundscape planning in reducing (mutual) acoustic interference between hydroacoustic instrumentation and marine mammals. The basis of this framework is formed by the various mechanisms by which acoustic niche formation (i.e., the partitioning of the acoustic space) occurs in species-rich communities that acoustically coexist while maintaining high fidelity (hi-fi) soundscapes, i.e., by acoustically partitioning the environment on the basis of time, space, frequency and signal structure. Hydroacoustic measurements often exhibit certain flexibility in their timing, and even instrument positioning, potentially offering the opportunity to minimize the ecological imprint of their operation. This study explores how the principle of acoustic niches could contribute to reduce potential (mutual) acoustic interference based on actual acoustic data from three recording locations in polar oceans. By employing marine soundscape planning strategies, entailing shifting the timing or position of hydroacoustic experiments, or adapting signal structure or frequency, we exemplify the potential efficacy of smart planning for four different hydroacoustic instrumentation types: multibeam echosounders, air guns, RAFOS (Ranging and Fixing of Sound) and tomographic sound sources.

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41

Shcherbina, Albert, and Alexandra Solodchuk. "Methods for spatial direction finding of geoacoustic signals at Mikizha Lake in Kamchatka." E3S Web of Conferences 62 (2018): 03004. http://dx.doi.org/10.1051/e3sconf/20186203004.

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In the framework of the work, a spatial analysis of geoacoustic emissions properties recorded by a hydroacoustic receiver in a shallow Mikizha Lake, Kamchatkskiy kray, is carried out. The features of geoacoustic pulse registration are considered, methods to determine the directions of their arrival and to locate the sources are proposed. Examples of geoacoustic signals during background periods and seismic event preparation periods are presented.

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42

Heyburn, Ross, David Bowers, and David N. Green. "Seismic and hydroacoustic observations from recent underwater events in the South Atlantic Ocean." Geophysical Journal International 223, no. 1 (July 20, 2020): 289–300. http://dx.doi.org/10.1093/gji/ggaa291.

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SUMMARY To study the location and characterize two underwater events in the South Atlantic Ocean, we analyse both seismic and hydroacoustic signals. The first event (2017 November 15) occurred around 550 km east of Argentina, near the last reported position of the Argentine Navy submarine the ARA San Juan, the seafloor wreck of which was found one year later. The second event (2017 December 1) was due to an aircraft-dropped depth charge, detonated as part of the search for the ARA San Juan. We use signal arrival times and azimuths recorded at two seismic and two hydroacoustic stations to estimate epicentres for both events; our estimates were within 10 km of the ground-truth locations. We used geophysical models and databases to determine the sound-speed structure of the water and the presence of sea-ice to help interpret differences in the frequency content and dispersion of signals at the two hydrophone stations. Hydrophone signals for the 2017 November 15 event contain significant energy at high frequencies, which is inconsistent with an earthquake source. Hydrophone signals for the 2017 December 1 event show frequency modulations consistent with those expected from the known depth and explosive energy. Hydrophone signals from the 2017 November 15 event also show frequency modulations, though differences between these for the two events suggest differences in the details of the source mechanisms. Using estimates of the local seismic magnitudes, the peak pressures recorded on the hydrophones, and the known charge weight for the 2017 December 1 event, we estimate that the 2017 November 15 event had an acoustic energy release equivalent to around 428 kg of trinitrotoluene. This analysis demonstrates the importance of high-precision traveltime predictions from models of seismic and ocean acoustic velocities when analysing low-magnitude underwater events.

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43

Shirokov, V. A., and V. N. Milich. "Experimental Complex for Studying the Possibilities of Using Hydroacoustic Sensors in Underwater Vision Systems." Vestnik IzhGTU imeni M.T. Kalashnikova 24, no. 4 (2021): 54–64. http://dx.doi.org/10.22213/2413-1172-2021-4-54-64.

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A description of a laboratory experimental and measuring complex is given, including a linear aquatic environment in the form of an extended cylindrical reservoir (hydro wave) and an experimental pool equipped with a system for generating test hydroacoustic signals, a set of electroacoustic and acoustoelectric transducers, and a system for amplifying and digitizing received signals. The results of experimental studies of hydroacoustic piezoelectric sensors and the features of the propagation of the waves generated by them in the described laboratory complex are presented. These results include: an assessment of the sensitivity of sensors, an assessment of the frequency characteristics of sensors, a study of the frequency response of a system of two sensors fixed at the ends of a horizontal hydro-wave guide, a comparison of the results of measurements of the frequency response of sensors in a pipe and a pool, a comparison of signal pulling over time in a pipe and a pool, a study of operation sensors in sonar mode. The most significant results illustrating the behavior of hydroacoustic signals and the potential of the measuring complex are the established possibilities for determining the resonance features of electroacoustic transducers and the detail of the characteristics of the reflection of acoustic signals from objects in an aquatic environment. The main investigated characteristics of hydroacoustic sensors are the sensitivity and frequency characteristics of the investigated sensors, the amplitude-frequency characteristics of the system from the transmitting and receiving transducers, and the features of the transducers' operation in the sonar mode. According to the research results, the characteristics of the sensitivity of the sensors and the assessment of the spread of the sensitivity indicators for representatives of the same type of different parties were obtained. The study of the frequency characteristics of the sensors was focused on the study of the dependence of the module and the phase of the sensor resistance on the frequency and on the determination of the resonance characteristics of the sensors. The presence of resonances (resistance minima) and antiresonances (resistance maxima) in several frequency regions was established. When examining the transducers in sonar mode, a glare structure of echo signals from the components of a complex object (a sphere suspended by a thread), separated by time intervals of 12.3 microseconds, was clearly observed. The delay of the signal reflected from the filament in relation to the signal reflected from the front wall of the sphere is due to the distance by two radii of the sphere, covered by the signal reflected from the filament. Carrying out research in two experimental situations (linear hydro wave and experimental pool) allows assessing the degree of adequacy of the results obtained in the sense of comparing similar experiments in different conditions.

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44

Dolya, V. K., M. A. Marakhovskiy, A. A. Panich, and S. N. Svirskaya. "Modeling Piezocomposite to Create the Optimal Design of Hydroacoustic Receiver." Физические основы приборостроения 6, no. 4 (December 15, 2017): 68–73. http://dx.doi.org/10.25210/jfop-1704-068073.

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45

Dorfman, Yevgeniy Y., and Jay J. Pulli. "Modeling hydroacoustic waveform envelopes for comprehensive test‐ban treaty monitoring." Journal of the Acoustical Society of America 105, no. 2 (February 1999): 1038. http://dx.doi.org/10.1121/1.424954.

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46

Shafranyuk, A. V., and V. V. Prokopovich. "Methods of clutter modeling for development testing of hydroacoustic systems." Journal of Physics: Conference Series 1864, no. 1 (May 1, 2021): 012142. http://dx.doi.org/10.1088/1742-6596/1864/1/012142.

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47

Bajtalyuk, A. A., A. V. Adrianov, V. N. Akulin, I. V. Dyujzen, M. Y. Kuznetsov, and Y. A. Kuznetsov. "Experimental ground for interdisciplinary marine biotechnology science as an effective solution tool for existing problems in fishing industry." Trudy VNIRO 181 (2020): 16–32. http://dx.doi.org/10.36038/2307-3497-2020-181-16-32.

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In 2018, in the Scientific and Educational Complex “Primorsky Oceanarium” of the National Scientific Center for Marine Biology (NSCMB) FEB RAS, a Collective Use Center (CUC) was created with scientific equipment, coastal and near-shore infrastructure, unique facilities and biological materials. In its function, this Center is a unit for cooperation between fishery science and academic science in marine biotechnology (MBC). It was organized using principles of shared access of participants to marine areas, coastal research stations, biological and instrumental basis of Marine Mammals Research facility in “Primorsky Oceanarium” MBC structure in the form of CUC can be used in addressing a wide range of tasks in implementing knowledge intensive marine biotechnologies, upgrading bionic methods in the study of aquatic organisms, carrying out field studies and tests on hydroacoustic, electrical, fishing gear and other manipulators for moving behavior of aquatic organisms and their adaptation to fishing activity. The first MBC joint research results are shown. Those studies include research on acoustic and kinematic activity and characteristics of signals of marine mammals and fish, hydroacoustic emitters testing for controlling fish behavior, experimental studies on reflective properties of aquatic irganisms, and influence of attracting and repelling hydroacoustic emitters on fish behavior in cages using modern instrumental control and observation tools.

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48

Warner, Graham A., Melanie Austin, and Alexander MacGillivray. "Hydroacoustic measurements and modeling of pile driving operations in Ketchikan, Alaska." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3992. http://dx.doi.org/10.1121/1.4989141.

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49

Talandier, Jacques, Olivier Hyvernaud, Emile A. Okal, and Pierre-Franck Piserchia. "Long-range detection of hydroacoustic signals from large icebergs in the Ross Sea, Antarctica." Earth and Planetary Science Letters 203, no. 1 (October 2002): 519–34. http://dx.doi.org/10.1016/s0012-821x(02)00867-1.

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50

Ball, Justin S., and Anne F. Sheehan. "Hydroacoustic signals of Antarctic origin detected at ocean-bottom seismic stations off New Zealand." Journal of the Acoustical Society of America 135, no. 4 (April 2014): 2307. http://dx.doi.org/10.1121/1.4877605.

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