Academic literature on the topic 'SONARs (Sound NAvigation and Ranging)'

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Journal articles on the topic "SONARs (Sound NAvigation and Ranging)"

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V Asundi, Ravindra, Anusha L Narayanan, Archana B, Ananya H A, and C. Shrunga Divakara. "Sonar Interface with FCS and Target Detection." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 541. http://dx.doi.org/10.14419/ijet.v7i3.12.16175.

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This paper presents a method to interface sound navigation and ranging(SONAR) with fire control system(FCS) and detection of targets. A submarine navigator keeps track of surrounding submarines and active targets such as torpedoes or mines and passive targets such as rocks, friend submarine or a ship, in order to have tactical information of its neighborhood. At present this is carried out manually by trained sonar operator. This task of classifying the object as either mines or rocks by training an artificial neural network using tensor flow framework, thereby giving the submarine (ship) system more autonomy.
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Satish, Aprameya, Brendan Nichols, David Trivett, and Karim G. Sabra. "Passive underwater acoustic markers for navigation and information encoding for high frequency sound navigation and ranging (SONAR) devices." Journal of the Acoustical Society of America 142, no. 4 (October 2017): 2731. http://dx.doi.org/10.1121/1.5014975.

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Rahmani, Mohamed Elhadi, Abdelmalek Amine, and Reda Mohamed Hamou. "Sonar Data Classification Using a New Algorithm Inspired from Black Holes Phenomenon." International Journal of Information Retrieval Research 8, no. 2 (April 2018): 25–39. http://dx.doi.org/10.4018/ijirr.2018040102.

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Sound Navigation and Ranging (Sonar) is underwater sound detection used in boats or submarines to navigate, communicate with or detect objects under the surface of water based on sound propagation. It is helpful for exploring and mapping the ocean because sound waves travel farther in the water than do radar and light waves. Based on signal data obtained from sonar, this article presents a new heuristic approach inspired from black holes' phenomenon proposed by Schwarzschild, it has been applied to the classification sonar returns from two undersea targets, a metal cylinder and a similarly-shaped rock. Results are very satisfied (almost 83% of accuracy) compared to original works. in manner that encourage to keep working on paper, the main idea of this article is to benefit from the power of nature to solve complex problems in computer science
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Novebriawan, Taufan, Luddy Andreas Delia, Endro Sigit Kurniawan, Kukuh Suryo, and Dikdik Satria Mulyadi. "Purwarupa Peralatan Pencitraan Bawah Laut Dilengkapi Penentu Posisi." Jurnal HIDROPILAR 6, no. 2 (April 6, 2021): 87–102. http://dx.doi.org/10.37875/hidropilar.v6i2.183.

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Sonar atau Sound Navigation and Ranging adalah teknik yang digunakan untuk menentukan posisi (jarak) menggunakan media gelombang suara. Sonar banyak dipakai untuk mengetahui situasi yang ada di dalam kolom air tertentu. Selain itu sonar juga berguna untuk mengukur jarak serta mencari atau mendeteksi suatu benda yang ada di bawah permukaan laut. Sonar bekerja dengan menggunakan prinsip mengirimkan gelombang suara dan akan dipantulkan kembali ketika gelombang tersebut mengenai suatu objek atau benda. Dalam Tugas Akhir ini penulis bermaksud untuk mengembangkan purwarupa peralatan pencitraan bawah laut yang dilengkapi dengan penentu posisi. Hal ini merupakan salah satu usaha yang dilakukan dalam rangka mewujudkan kemandirian teknologi.
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Begum, Shaik Salma, Kandipalli Durga Prasanth, Kotapati Lasya Reddy, Kokkiligadda Sai Kumar, and Kancharla Jyotsna Nagasree. "RDNN for Classification and Prediction of Rock or Mine in Underwater Acoustics." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3 (April 4, 2023): 98–104. http://dx.doi.org/10.17762/ijritcc.v11i3.6326.

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Mines in the waters are just explosives that detonate upon contact with an object. The underwater submarine must foresee if it will encounter a mine or a rock. Lacking the development of the Ranging Sound Navigation approach, which utilizes particular variables to identify whether a surface or a barrier is made of a mine or rock, finding mines or rocks would have been extremely difficult. In our study, we demonstrate a technique for predicting underwater rocks and mines using SONAR waves. At 60 different angles, SONAR pings are employed to record the various frequencies of submerged objects. To identify whether the object in the ocean is a mine or just a rock, the submarine uses SONAR signals, which transmit sound and receive switchbacks. The mine and rock categories are predicted using the prediction models. To create these prediction models, Supervised Machine Learning Classification methods were employed.
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Neupane, Dhiraj, and Jongwon Seok. "A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition." Electronics 9, no. 11 (November 22, 2020): 1972. http://dx.doi.org/10.3390/electronics9111972.

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Underwater acoustics has been implemented mostly in the field of sound navigation and ranging (SONAR) procedures for submarine communication, the examination of maritime assets and environment surveying, target and object recognition, and measurement and study of acoustic sources in the underwater atmosphere. With the rapid development in science and technology, the advancement in sonar systems has increased, resulting in a decrement in underwater casualties. The sonar signal processing and automatic target recognition using sonar signals or imagery is itself a challenging process. Meanwhile, highly advanced data-driven machine-learning and deep learning-based methods are being implemented for acquiring several types of information from underwater sound data. This paper reviews the recent sonar automatic target recognition, tracking, or detection works using deep learning algorithms. A thorough study of the available works is done, and the operating procedure, results, and other necessary details regarding the data acquisition process, the dataset used, and the information regarding hyper-parameters is presented in this article. This paper will be of great assistance for upcoming scholars to start their work on sonar automatic target recognition.
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Elechi, Promise, Ela Okowa, and Osunomo Procter Illuma. "Analysis of a SONAR Detecting System Using Multi-Beamforming Algorithm." International Journal of Advanced Networking and Applications 14, no. 05 (2023): 5596–601. http://dx.doi.org/10.35444/ijana.2023.14503.

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Sonar (Sound Navigation and Ranging) system is an advanced underwater object-detecting system for navigation. The sonar system aids in detecting obstacles and the presence of enemies within a given range. The sonar system detects the targeted objects by identifying the radius and range of the targeted objects. One of the major problems that affect the application of the sonar system is the inability to detect objects due to excessive echoes and noise in the spectrum. The excessive echoes created reverberations that tend to distort the original reflected signal of the sonar system. This research aims to develop a sonar system that can detect a target object at 15km using a beamforming technique. The technique aids in creating a very high-level concentration on the objects by sending multiples of the same signals to one receiver, thereby reducing reverberation and transmission losses. The results show that 15 obstacles were detected at 15km, and reverberations were reduced by 2dB, thereby improving the visibility of the detected signal within its range with the lowest transmission loss of 0.5dB compared to the ultrasonic sonar system and the conventional echo object detecting system having a transmission loss of 3.12dB and 5.67dB respectively.
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Salambue, Roni. "PERANCANGAN ALAT PENGUKUR TINGGI BADAN DIGITAL DENGAN METODE SONAR." Rabit : Jurnal Teknologi dan Sistem Informasi Univrab 1, no. 1 (January 10, 2016): 31–36. http://dx.doi.org/10.36341/rabit.v1i1.14.

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Sonar is an abbreviation of (sound of ranging), which means the technique of spreading the sound for navigation and communicating or detecting other ships. Sonar can be applied to measure the distance of an object by reflecting ultrasonic waves to the object and then captured through the reciver. The ultrasonic wave is reflected by the SR04 sensor and uses Arduino Uno as a microcontroller where its distance is calculated. LCD is used to display measurement results so that it is easier to take height measurements. Arduino is a device that can be programmed and connected directly with an ultrasonic sensor used for measurements. The ultrasonic sensor is placed on a pole as high as 200 cm, and the distance of 200 cm is used as a benchmark measurement. Measurement using manual and digital can work well, but using digital level measurement speed is better than measuring using a manual.
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Park, Beom Hoon, Han Bin Choi, Hee-Seon Seo, Yub Je, Hak Yi, and Kwan Kyu Park. "Development of Multilayer Transducer and Omnidirectional Reflection Model for Active Reflection Control." Sensors 23, no. 1 (January 3, 2023): 521. http://dx.doi.org/10.3390/s23010521.

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Underwater detection is accomplished using an underwater ultrasonic sensor, sound navigation and ranging (SONAR). Stealth to avoid detection by SONAR plays a major role in modern underwater warfare. In this study, we propose a smart skin that avoids detection by SONAR via controlling the signal reflected from an unmanned underwater vehicle (UUV). The smart skin is a multilayer transducer composed of an acoustic window, a double-layer receiver, and a single-layer transmitter. It separates the incident signal from the reflected signal from outside through the time-delay separation method and cancels the reflected wave from the phase-shifted transmission sound. The characteristics of the receiving and transmitting sensors were analyzed using a finite element analysis. Three types of devices were compared in the design of the sensors. Polyvinylidene fluoride (PVDF), which had little effect on the transmitted sound, was selected as the receiving sensor. A stacked piezoelectric transducer with high sensitivity compared to a cymbal transducer was used as the transmitter. The active reflection control system was modeled and verified using 2D 360° reflection experiments. The stealth effect that could be achieved by applying a smart skin to a UUV was presented through an active reflection–control omnidirectional reflection model.
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Jang, Jejin, Jaehyuk Choi, Donghun Lee, and Hyungsoo Mok. "Estimation Method of an Electrical Equivalent Circuit for Sonar Transducer Impedance Characteristic of Multiple Resonance." Sensors 23, no. 14 (July 24, 2023): 6636. http://dx.doi.org/10.3390/s23146636.

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Improving the operational efficiency and optimizing the design of sound navigation and ranging (sonar) systems require accurate electrical equivalent models within the operating frequency range. The power conversion system within the sonar system increases power efficiency through impedance-matching circuits. Impedance matching is used to enhance the power transmission efficiency of the sonar system. Therefore, to increase the efficiency of the sonar system, an electrical-matching circuit is employed, and this necessitates an accurate equivalent circuit for the sonar transducer within the operating frequency range. In conventional equivalent circuit derivation methods, errors occur because they utilize the same number of RLC branches as the resonant frequency of the sonar transducer, based on its physical properties. Hence, this paper proposes an algorithm for deriving an equivalent circuit independent of resonance by employing multiple electrical components and particle swarm optimization (PSO). A comparative verification was also performed between the proposed and existing approaches using the Butterworth–van Dyke (BVD) model, which is a method for deriving electrical equivalent circuits.
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Dissertations / Theses on the topic "SONARs (Sound NAvigation and Ranging)"

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Mallios, Angelos. "Sonar scan matching for simultaneous localization and mapping in confined underwater environments." Doctoral thesis, Universitat de Girona, 2014. http://hdl.handle.net/10803/134727.

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This thesis presents the development of a localization and mapping algorithm for an autonomous underwater vehicle (AUV). It is based on probabilistic scan matching of raw sonar scans within a pose-based simultaneous localization and mapping(SLAM) framework
Aquesta tesis presenta el desenvolupament d’un algoritme de localització i mapeig per un vehicle submarí autònom (AUV). L’algoritme es basa en tècniques probabilístiques de scan matching utilitzant scans de sonar dins un sistema de localització i construcció simultània de mapes (SLAM) basat en posició
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Krishna, Kumar G. V. "Characterization of Flow Induced Noise Received by an Array Placed at Stagnation Point of an Underwater Axisymmetric Body." Thesis, 2017. http://etd.iisc.ernet.in/2005/3799.

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Given the interest on underwater axisymmetric cylindrical bodies for the development of high-speed underwater weapons, characterization of the boundary layer flow-induced noise received by a Sound NAvigation and Ranging (SONAR) is very important to improve sonar detection ranges. The debate on generating mechanisms of the flow induced noise received at the stagnation point is still on as there is no experimental evidence conclusively suggesting whether it is a near-field or far-field phenomenon, thereby introducing an element of uncertainty in the prediction models. Further, the models developed thus far were based on low Reynolds numbers involving flows in water tunnels and buoyant vehicles. Therefore, the main focus of the thesis is to measure the flow induced noise using a sonar fitted at the most forward stagnation point of an underwater axisymmetric body as realistically as possible and predict the same theoretically for identifying a suitable flow noise model for future use by designers. In order to meet the stated goal, two exclusive experiments were conducted at sea using an underwater autonomous high-speed axisymmetric vehicle fitted with a planar hydrophone array (8X8) in its nose cone which measured the flow noise signature. Two different sets of existing models are used in characterizing the flow noise received by the array, while the first set comprises of models developed based on the Turbulent Boundary Layer induced noise and other is based on the transition zone radiated noise model. Through this study, it was found that the transition zone radiated noise model is in close agreement with the measured data.
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Book chapters on the topic "SONARs (Sound NAvigation and Ranging)"

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Weik, Martin H. "sound navigation and ranging." In Computer Science and Communications Dictionary, 1617. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17720.

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"Sound Navigation Ranging." In Encyclopedic Dictionary of Archaeology, 1284. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58292-0_190888.

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"sound navigation and ranging." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 1277. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_195733.

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Conference papers on the topic "SONARs (Sound NAvigation and Ranging)"

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Yellaiah, J. "Feasibility Study of Laser-Induced Sonar." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jtu5b.59.

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This study demonstrates the feasibility of laser-induced SONAR (sound navigation and ranging) for non-contact detection and location of various underwater targets such as sand-filled and water-filled plastic and glass cuvettes, and the water-air interface.
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Mundla, V., J. R. Kadambi, S. Sastry, C. Deng, and Y. Zhou. "Measurement of Liquid Layer Thickness Using Ultrasound Technique." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80022.

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The use of ultrasound technique to obtain the liquid film thickness was investigated. Ultrasound imaging is a technique that uses high frequency sound waves to produce precise images of structures. Ultrasound imaging is based on the same principle as SONAR (Sound Navigation and Ranging) during which a transducer capable of generating and receiving high frequency sound waves, sends pulses of sound waves into the interrogation area and the sound reflected back (echo) form any interface (such as water air interface) within the interrogation plane is obtained by the transducer. The time taken for the sound wave to travel from the transducer surface to the water air interface is obtained from the delay of the echo signal with regard to the transmitted signal; this time is used to compute the distance of the interface knowing the velocity of sound in medium. An experiment was set up to measure the depth of water in a container using ultrasound technique. A-mode (amplitude-mode) scanning was used where a pulsed ultrasound wave is directed into the interrogation region and echoes generated at various interfaces are detected. It is observed that levels as low as 0.55 mm were measured.
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Ismail, Hesham, and Balakumar Balachandran. "Vehicle Pose Estimation and SONAR Sensor Based Mapping." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52427.

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In carrying out simultaneous localization and mapping, a mobile vehicle is used to simultaneously estimate its position and build a map of the environment. The long-term goal of this work is to build an autonomous inspection mobile vehicle for oil storage tanks and pipelines. The harsh environmental conditions in storage tanks and pipelines limit the types of feature extraction sensors and vehicle pose estimation sensors that one can use. Here, a SOund Navigation And Ranging (SONAR) sensor will be used for feature extraction, and a gyroscope and an encoder will be used for vehicle pose estimation. The integration of these sensors (SONAR, encoder, and gyroscope) will be discussed in this paper, along with the use of a recently developed algorithm fusion for SONAR sensors. The integration of the sensors represents a step towards implementation of concurrent localization and mapping progress in harsh environments.
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Ismail, Hesham, and Balakumar Balachandran. "Feature Extraction Algorithm Fusion for SONAR Sensor Data Based Environment Mapping." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37116.

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Mobile platforms that make use of concurrent localization and mapping algorithms have industrial applications for autonomous inspection and maintenance, such as the inspection of flaws and defects in oil pipelines and storage tanks. An important component of these algorithms is feature extraction, which involves detection of significant features that represent the environment. For example, points and lines can be used to represent features such as corners, edges, and walls. Feature extraction algorithms make use of relative position and angle data from sensor measurements gathered as the mobile vehicle traverses the environment. In this paper, sound navigation and ranging (SONAR) sensor data obtained from a mobile vehicle platform are considered for feature extraction and related algorithms are developed and studied. In particular, different combinations of commonly used feature extraction algorithms are examined to enhance the representation of the environment. The authors fuse the Triangulation Based Fusion (TBF), Hough Transfrom (HT), and SONAR salient feature extraction algorithms with the clustering algorithm. It is shown that the novel algorithm fusion can be used to capture walls, corners as well as features such as gaps in walls. This capability can be used to obtain additional information about the environment. Details of the algorithm fusion are discussed and presented along with results obtained through experiments.
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Khare, Akshat, and Kanchana Mani. "Prediction of Rock and Mineral from Sound Navigation and Ranging Waves using Artificial Intelligence Techniques." In 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2022. http://dx.doi.org/10.1109/icaiss55157.2022.10011104.

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Moldoveanu, Alin, Oana Balan, and Florica Moldoveanu. "TRAINING SYSTEM FOR IMPROVING SPATIAL SOUND LOCALIZATION." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-011.

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This paper presents a new training system for 3D audio space localization, part of a more complex project, Sound of Vision, which is intended to be an object recognition and navigation aid system for visually-impaired people. As a large number of people are suffering from a visual handicap which impedes them from normally accomplishing their daily chores, there is need for an assistive device that replaces sight with another sense, for instance, hearing. The most important aspect in the sound localization techniques is the human capacity to discriminate between different sounds playing at various locations in space. The aim of the presented audio system is to train and test the subjects' space localization ability, hence to develop and improve their 3D recognition skills. The solution uses binaural sounds conveyed through headphones as basic blocks, applying HRTFs to various sounds (Head Related Transfer Function - a physical propagation characteristic that describes how the ear perceives the sound coming from a particular point in space). The acoustic signals represent short (e.g. 20ms long) white and pink noise sounds, externalized with non-individualized HRTFs recorded in dedicated lab environments. Thus, from a monaural noise sound, through the process of mathematical convolution with the corresponding angular HRTF impulse for both the left and right channels, we obtained a 3D binaural sound which is perceived as coming from the particular direction specified by the angular value of the convoluted HRTF. The program is composed of a training module, where the user moves the mouse cursor inside a circle and hears a continuous binaural sound that corresponds to the azimuth angle indicated on the circle- ranging from 0 to 355 degrees, and a test module- where the subject is presented 10 different sounds that correspond to 10 different locations, being required to point out on the circle the presumed emitting location of the sound, as he perceives it. Through learning and training, the users (both normal-sighted and visually impaired subjects) performed various auditory tasks- identification, recognition, discrimination- and improved their sound localization capacity. This paper gives on overview of 3 aspects: the technical realization of the system, the experimental results with a set of training subjects and the advanced observations about sound localization that we made.
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