Results 161 to 170 of about 20,891 (205)

Receiver depth selection for passive sonar systems

IEEE Journal of Oceanic Engineering, 1991
Since tactical acoustic systems such as towed arrays can be deployed at various depths, the authors address the question of what depth is optimal. This question is considered principally from the point of view of optimum propagation conditions, employing two deep-water scenarios representing summer and winter conditions in the western Mediterranean ...
C. Ferla, M.B. Porter
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Underwater acoustic sensor fault detection for passive sonar systems

2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016
In this paper, an underwater acoustic sensor fault detection method is proposed that determines whether or not each sensor of multi-channel line array hydrophones malfunctions for passive sonar systems. To this end, the proposed method first measures a short-time root mean square (RMS) value of input signal for each channel.
Yong Guk Kim, YoungShin Kim, Sang Hyuck Lee, Sang-Taeck Moon, Moongu Jeon, Hong Kook Kim   +5 more
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Novelty Detection in Passive Sonar Systems using Stacked AutoEncoders

2018 International Joint Conference on Neural Networks (IJCNN), 2018
Modern military ships have become more silent in the recent years, so that their detection, tracking, and classification have become even more challenging. Submarines rely very much on passive sonar systems, which might operate in a multi-class scenario.
Vinicius dos Santos Mello, Natanael Nunes de Moura, Jose Manoel de Seixas   +2 more
openaire   +1 more source

SPOTLIGHT: a signal-processing system for passive SONAR

The Journal of the Acoustical Society of America, 1977
SPOTLIGHT is an integrated signal-processing display system which employs a time-amplitude-frequency orthogonal display and a hidden line-removal technique to reduce clutter and create the appearance of a relief map. The signal processor employs an ideal box-car integrator and overlapped transform methods to allow significant signal-processing gains ...
G. A. Rahe, C. B. Robbins
openaire   +1 more source

Enlarging neural class detection capacity in passive sonar systems

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
A neural discriminating analysis is used for classifying passive sonar signals. Preprocessed information from the amplitude spectra of the noise radiated from ships is projected onto only a few principal discriminating components for feeding the input nodes of the neural classifier.
W. Soares-Filho, J.M. Seixas, L.P. Caloba   +2 more
openaire   +1 more source

Passive fiber optic sonar system

The Journal of the Acoustical Society of America, 1982
A fiber optic sonar system wherein first and second optical fibers are wound on a common mandrel and provided with a light energy beam. An acoustic signal differentially varies the index of refraction of the optical fibers to result in an interference pattern dependent upon the frequency of the received acoustic signal or signals.
openaire   +1 more source

Multi-frame Track-before-detect Algorithm for Passive Sonar System

2019 International Conference on Control, Automation and Information Sciences (ICCAIS), 2019
It has been widely verified superiority of multi-frame track-before-detect (MF - TBD) for weak-target detection and tracking. In this paper we apply MF - TBD approach to solve weak unknown and time-varying number of targets detection and tracking problem for passive sonar system with excellent concealment. MF - TBD signal processing method is exclusive
Qiyun Peng, Wujun Li, Lingjiang Kong
openaire   +1 more source

Target classification in a passive sonar-an expert system approach

International Conference on Acoustics, Speech, and Signal Processing, 2002
A study of passive classification of underwater targets is made. A set of features pertaining to four different classes of vessels are identified, and methods of extraction of these features from the data are outlined. An expert system using Turbo PROLOG is developed for classifying the vessels. The confidence level of the classifier is analyzed. >
R. Rajagopal, B. Sankaranarayanan, P. Ramakrishna Rao   +2 more
openaire   +1 more source

Target detection using a neural network based passive sonar system

International Joint Conference on Neural Networks, 1989
A neural-network (NN)-based system for the passive detection of targetlike signals in underwater acoustic fields is being developed. The input to the NN is an intensity modulated signal, which is a measure of the power of the received signal plus noise at different frequencies as time varies.
null Khotanzad, null Lu, null Srinath
openaire   +1 more source

Novelty detection in passive SONAR systems using support vector machines

2015 Latin America Congress on Computational Intelligence (LA-CCI), 2015
In naval warfare operations, several techniques have been developed for passive sonar signal detection and classification. Sonar systems operate over very noisy conditions and, eventually have to be identified new classes without loosing much efficiency to classes for which both, the sonar operator (OS) and a given decision support system have been ...
Natanael Nunes de Moura, Jose Manoel de Seixas   +1 more
openaire   +1 more source