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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronics devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.
Proceedings of the 1981 2nd International Symposium on Unmanned Untethered Submersible Technology, 1981
IEEE Spectrum, 1989
A modification of a simple hybrid signal-processing technique introduced in 1973 by Tad Ulrych, a geophysicist, and his colleagues is described. The method can improve the performance of one-dimensional, equispaced sensor arrays under certain conditions, so that they perform as well as arrays that are up to two or three times longer under high signal-to-noise ratio conditions. Combining approaches used ...
2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2011
The main problem of active sonar detection is that the reverberation has spatial and temporal two-dimensional coupling characteristic which is similar to clutters in airborne radar. This paper presents a sparse sample matrix inversion with diagonal loading (SSMI-DL) for reverberation suppression in active sonar. The proposed method transfers Pulse Doppler radar STAP processing techniques into active sonar application, which utilizes ...
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003
A time-series processor chip, intended for sonar mapping and novelty detection applications, has been designed, fabricated and tested. The chip, when coupled with a sonar bearing and range estimation unit, receives an image of the environment as a voltage waveform. The bearing of an object is given by the magnitude of the signal, while its range is given by its ...
IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259), 1998
Describes a position and orientation system for submersible vehicles (POS/SV), designed to provide a full navigation solution for submersible vehicles (SV). Its intended applications are those requiring accurate and continuous position and orientation data in very deep or very shallow water where acoustic positioning systems (APS) alone become sporadic, noisy and generally unreliable. These applications include positioning for SV navigation, ...
Louis Scharf receives the IEEE Jack S. Kilby Signal Processing Medal - Honors Ceremony 2016
2015 IEEE Honors: IEEE Jack S. Kilby Signal Processing Medal - Harry L. Van Trees
802.24: Vertical Applications TAG
IMS 2011 Microapps - New Rotary Joint Product Lines for SATCOM Applications
IMS 2012 Microapps - Bonding Materials used in Multilayer Microwave PCB Applications
Bayesian Perception & Decision from Theory to Real World Applications
IEEE Top Trends for 2012 at CES: Cloud-Based Applications
2014 Dennis J. Picard Medal for Radar Technologies and Applications
Industry Forum: 5G Technologies and Applications, Joseph Salvo - IECON 2018
A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications - IEEE Rebooting Computing 2017
2012 IEEE Honors - Dennis J. Picard Medal for Radar Technologies and Applications
Applications of Computational Intelligence in Biomedicine
Robotics History: Narratives and Networks Oral Histories: Vic Scheinman
Applications of Adaptive Critic Design 2
IMS 2012 Special Sessions: The Evolution of Some Key Active and Passive Microwave Components - N. J. Kolias
IEEE PELS Webinar Series-Galvanic Isolation for Power Supply Applications
Applications of Adaptive Critic Design 1
Robotics History: Narratives and Networks Oral Histories: Robert Riener
A modification of a simple hybrid signal-processing technique introduced in 1973 by Tad Ulrych, a geophysicist, and his colleagues is described. The method can improve the performance of one-dimensional, equispaced sensor arrays under certain conditions, so that they perform as well as arrays that are up to two or three times longer under high signal-to-noise ratio conditions. Combining approaches used in traditional Fourier analysis (which gives good results only for weak signals) and high-resolution signal processing (which resolves only strong signals well), the technique yields enhanced resolution for both. The application of the hybrid technique to sonar processing is described.<<ETX>>
The main problem of active sonar detection is that the reverberation has spatial and temporal two-dimensional coupling characteristic which is similar to clutters in airborne radar. This paper presents a sparse sample matrix inversion with diagonal loading (SSMI-DL) for reverberation suppression in active sonar. The proposed method transfers Pulse Doppler radar STAP processing techniques into active sonar application, which utilizes the inverse reverberation covariance matrix to obtain adaptive weights and avoids singular reverberation covariance matrix with diagonal loading due to limited available received data. Simulation results are provided to verify that the SSMI-DL is more effective for improving slowly moving target detection for CW pulse than the conventional methods.
A time-series processor chip, intended for sonar mapping and novelty detection applications, has been designed, fabricated and tested. The chip, when coupled with a sonar bearing and range estimation unit, receives an image of the environment as a voltage waveform. The bearing of an object is given by the magnitude of the signal, while its range is given by its time following the transmission of the sonar 'ping'. The chip stores this voltage waveform in a bank of sample-and-hold (S/H) elements and compares it to a previously stored trace. Objects that move in either azimuth or range are immediately detected and reported. The chip contains 54 S/H elements that are triggered by an on- board timer. The change detector can detect motion in bearing and range of 10 degrees/s and 11 cm/s, respectively. The maximum range is approximately 5 m. Operating in the CMOS subthreshold region of operation, the novelty detection chip is designed for ultra-low power and micro-footprint smart surveillance systems. Implemented in a CMOS 0.5 um process, it consumes less than 20 uW @ 8 Hz repetition rate (and less than 6 uW quiescent) with a 3 V supply and occupies less than 0.3 sq. mm.
Describes a position and orientation system for submersible vehicles (POS/SV), designed to provide a full navigation solution for submersible vehicles (SV). Its intended applications are those requiring accurate and continuous position and orientation data in very deep or very shallow water where acoustic positioning systems (APS) alone become sporadic, noisy and generally unreliable. These applications include positioning for SV navigation, positioning and orientation for template survey, deep water multibeam sonar bathymetry requiring both position and orientation for sonar motion compensation and data georeferencing, site surveying and pipe and cable surveying and synthetic aperture sonar (SAS) motion compensation.
This paper addresses the problem of time-varying amplitude multichirp signals parameter estimation. We compare two approaches which require a model for the amplitude. First, we use a basis of time-localized functions associated with Bayesian estimation. Secondly, we use an autoregressive model associated with a mixed high-order ambiguity function/Kalman filter estimation. Results show that both methods are efficient to solve this estimation problem.
Adaptive array processing has been extensively studied during several decades for underwater acoustic applications. But up to now, very few applications have been developed, or, at least, appear in the literature. This is due to the relatively great amount of calculation needed by adaptive processing compared to conventional beamforming, and perhaps, by the relatively disappointing results obtained in the first applications (mainly towed array in deep water) when considering the needed extra processing load. The results obtained in recent applications demonstrate the great interest of adaptive beamforming.
Previous work by the author has demonstrated the capability of the Bienenstock Cooper Munro (BCM) model (proposed in 1982) of neural synaptic modification to perform feature extraction, thus enhancing the performance of automated classifiers. Recent work has applied the BCM algorithm to sonar images of minelike objects, with the output of the BCM networks fed into a neural network classifier. This paper demonstrates the capability of this approach to classify, objects as minelike or non-minelike, and to further classify the minelike objects by type.
This paper explores the intersection of two fields of research: autonomous underwater vehicles (AUVs), and archaeology in the deep sea. Archaeology in the deep sea poses a range of difficult, interesting problems for autonomous underwater vehicles. These include broad area sonar searches, target identification, and precision survey. Broad area sonar searches for archaeology have requirements similar to those in other AUV applications collecting sonar data to locate targets for further inspection. The authors briefly discuss what existing vehicles can contribute to archaeological searches. They then describe the challenges for AUVs in identifying archaeological sites. Then, they discuss the importance of precision survey of archaeological sites and its implications for vehicle design and control. By "mowing the lawn" with computer-controlled tracklines over an archaeological site, an AUV could collect imagery and sonar data for precise maps of a particular site. We propose an archaeology-speciflc AUV to conduct such surveys and describe the requirements for such a vehicle to work in precision, instrumented environments.
1.0 Underwater Acoustics And Acoustical Oceanography 1.4 Acoustical oceanography; Correlations Amongst High Definition Side-Scan Sonar Images and Corresponding Remote Operating Vehicle Images of Geological, Man-Made and Possible Animal Remains Along the Bottom of Loch Ness, Scotland
A century of dramatic changes in Loch Ness, Scotland, are now revealed through high definition side-scan sonar mapping of the entire loch, further revealing interesting targets resting on the bottom and side walls some of which have been correlated with optical images through ROV video-inspection.
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