Results 141 to 150 of about 1,483 (184)

Processing of Noisy Passive Sonar Measurements

2007 International Conference on Signal Processing, Communications and Networking, 2007
In underwater an observer pre-processes the noisy bearing measurements available from passive sonar and then the data is used by Kalman filter to find out target motion parameters. The pre-processing reduces the amplitude of the noise, replaces the missed bearings with estimated bearings, supplies the estimated bearings if the bearing measurement is ...
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Range and Bearing Estimation in Passive Sonar

IEEE Transactions on Aerospace and Electronic Systems, 1980
Passive sonar systems are used for estimating the range and bearing of signal sources, such as ships or submarines. In this study, the Cramer-Rao bounds on estimation errors are used as measures of the accuracy of the estimates. The bounds show how parameters such as observation time, signal bandwidth, signal-to-noise ratio, and array geometry can be ...
S. Pasupathy, W. Alford
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Matched array processing for wideband passive sonar

ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The Matched Array Processor (MAP) is quadratic adaptive matrix filter designed to optimize detection and bearing estimation of a desired wideband target signature in the presence of interferences. It is made adaptive in the spatial domain to remove interferences entering through the beam sidelobes and it is spectrally matched to the signal of interest.
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Wideband STAP (WB-STAP) for passive sonar

Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492), 2003
This paper addresses an innovative method for passive sonar signal processing where it is required to suppress a field of moving acoustic interferes while simultaneously enhancing the signal from a weak moving source. Motivated by the Space-Time Adaptive Processing (STAP) technology for similar radar applications, we propose a solution to the passive ...
S.U. Pillai, J.R. Guerci, S.R. Pillai
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Reverse-Time Tracking to Enhance Passive Sonar

2006 9th International Conference on Information Fusion, 2006
Passive sonar depends on signals of opportunity to detect, track and localize targets. These signals are typically detected and then tracked using Kalman filter-type signal followers. Target motion analysis (TMA) is then used to estimate the target's range and, from this, its position, course and speed.
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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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PASSIVE SONAR PERFORMANCE ENGINE (SPE)

VALIDATION OF SONAR PERFORMANCE ASSESSMENT TOOLS 2010, 2023
KD HEANEY, RL CAMPBELL
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Optimum Spatial Processing of Passive Sonar Signals

IEEE Transactions on Aerospace and Electronic Systems, 1978
The spatial structure of the likelihood ratio array processor for detecting a monochromatic plane wave signal in Gaussian noise is compared with a conventional beam-forming detector. Conditions are determined under which the optimum detector performs significantly better than the conventional detector.
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Machine learning approach to passive sonar localization.

The Journal of the Acoustical Society of America, 2011
A machine learning-based depth classifier for passive sonar is under development. The classifier is based on a support vector machine (SVM) paired with backward feature selection through margin-based feature elimination (MFE). The overcomplete feature space consists of features that have been shown to work in other passive sonar classifiers, features ...
Brett E. Bissinger, R. Lee Culver
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Holographic Passive Sonar

IEEE Transactions on Sonics and Ultrasonics, 1977
K. Sasaki, T. Sato, Y. Nakamura
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