High frequency marine mammal mitigation active sonar system

2002 ◽  
Author(s):  
P. Stein ◽  
J. Rudzinsky ◽  
M. Binnam ◽  
W. Ellison ◽  
J. Johnson
Keyword(s):  
Marine Mammal ◽  
High Frequency ◽  
Active Sonar ◽  
Sonar System

scholarly journals Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4013 ◽  
Author(s):  
Jie Huang ◽  
Tian Zhou ◽  
Weidong Du ◽  
Jiajun Shen ◽  
Wanyuan Zhang
Keyword(s):  
High Frequency ◽  
Real Data ◽  
Side Lobe ◽  
Tunnel Effect ◽  
Computation Complexity ◽  
Acoustic Image ◽  
Multibeam Sonar ◽  
Sonar System ◽  
Topographic Survey ◽  
Beamforming Algorithm

A new fast deconvolved beamforming algorithm is proposed in this paper, and it can greatly reduce the computation complexity of the original Richardson–Lucy (R–L algorithm) deconvolution algorithm by utilizing the convolution theorem and the fast Fourier transform technique. This algorithm makes it possible for real-time high-resolution beamforming in a multibeam sonar system. This paper applies the new fast deconvolved beamforming algorithm to a high-frequency multibeam sonar system to obtain a high bearing resolution and low side lobe. In the sounding mode, it restrains the tunnel effect and makes the topographic survey more accurate. In the 2D acoustic image mode, it can obtain clear images, more details, and can better distinguish two close targets. Detailed implementation methods of the fast deconvolved beamforming are given, its computational complexity is analyzed, and its performance is evaluated with simulated and real data.

scholarly journals Doppler Data Association Scheme for Multi-Target Tracking in an Active Sonar System

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2003
Author(s):  
Yu Yao ◽  
Junhui Zhao ◽  
Lenan Wu
Keyword(s):  
Target Tracking ◽  
Data Association ◽  
Target Range ◽  
Target Velocity ◽  
Linear Filter ◽  
Velocity Measurements ◽  
Active Sonar ◽  
Sonar System ◽  
Multi Target Tracking ◽  
Doppler Data

In many wireless sensors, the target kinematic states include location and Doppler information that can be observed from a time series of range and velocity measurements. In this work, we present a tracking strategy for comprising target velocity components as part of the measurement supplement procedure and evaluate the advantages of the proposed scheme. Data association capability can be considered as the key performance for multi-target tracking in an active sonar system. Then, we proposed an enhanced Doppler data association (DDA) scheme which exploits target range and target velocity components for linear multi-target tracking. If the target velocity measurements are not incorporated into target kinematic state tracking, the linear filter bank for the combination of target velocity components can be implemented. Finally, a significant enhancement in the multi-target tracking capability provided by the proposed DDA scheme with the linear multi-target combined probabilistic data association method is demonstrated in a sonar underwater scenario.

Visualizing Probability of Detection to Aid Sonar Operator Performance

2017 ◽  
Vol 61 (1) ◽  
pp. 302-306 ◽  
Author(s):  
Kingsley I. Fletcher ◽  
Megan L. Bartlett ◽  
Susan J. Cockshell ◽  
Jason S. McCarley
Keyword(s):  
Spatial Attention ◽  
Target Detection ◽  
Response Bias ◽  
Human Performance ◽  
Detection Task ◽  
Probability Of Detection ◽  
Uncertainty Range ◽  
Active Sonar ◽  
Operator Performance ◽  
Sonar System

This study tested whether the display of rings indicating the probability of target detection would improve human performance on a simulated active sonar detection task. Participants viewed a series of simulated sonar returns and decided whether a target was present or not. Participants performed the task both with and without uncertainty range rings that indicated 90% and 10% detectability ranges. The probability of detection rings did not improve the overall ability of participants to distinguish targets from noise, but did appear to influence response bias and spatial attention. These results suggest that displaying probability of detection may not be an effective way of improving the performance of sonar system operators.

An active sonar system using ACVD beamforming

1989 ◽  
Vol 27 (4) ◽  
pp. 275-285 ◽  
Author(s):  
Ian G. Bryden
Keyword(s):  
Active Sonar ◽  
Sonar System

High‐frequency laser sonar system

2002 ◽  
Vol 112 (5) ◽  
pp. 2408-2408
Author(s):  
Benjamin A. Cray ◽  
Ashwin Sarma ◽  
Ivars P. Kirsteins
Keyword(s):  
High Frequency ◽  
Sonar System ◽  
Frequency Laser

Marine Mammal Active Sonar Test 2004 (MAST 2004)

2004 ◽  
Vol 115 (5) ◽  
pp. 2559-2559
Author(s):  
Peter J. Stein ◽  
Amy Vandiver ◽  
Geoffrey S. Edelson ◽  
Adam S. Frankel ◽  
Christopher W. Clark
Keyword(s):  
Marine Mammal ◽  
Active Sonar

Monitoring of marine mammal occurrence and acoustic behaviors in relation to mid-frequency active sonar using autonomous recorders deployed off the undersea warfare training range, Florida

2013 ◽  
Vol 134 (5) ◽  
pp. 4045-4045
Author(s):  
Thomas F. Norris ◽  
Julie Oswald ◽  
Tina M. Yack ◽  
Elizabeth Ferguson ◽  
Anurag Kumar ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Active Sonar

Recent Developments in Numerical Modeling of Transduction Materials

1995 ◽  
Author(s):  
Anne-Christine Hladky-Hennion ◽  
Régis Bossut ◽  
Jean-Claude Debus
Keyword(s):  
Finite Element ◽  
Numerical Modeling ◽  
Research Work ◽  
Piezoelectric Composite ◽  
The Finite Element Method ◽  
Theoretical Formulation ◽  
Active Sonar ◽  
Sonar System ◽  
Recent Developments ◽  
Materials Used

Abstract Recent research work in sonar system performance, coupled with achievements in the field of acoustic quieting, has led to the development of new ceramics that are promising for both hydrophone and projector applications. Other materials have also been studied like piezoelectric composite materials, magnetostrictive and electrostrictive materials. To design transducers using these materials, the finite element method seems to be the best suited approach. Using this method, it is possible to analyze, characterize and tailor new materials as well as to design a full transducer or an array. Recent developments in the ATILA finite element code allow the modeling of new transduction materials. The aim of this paper is to present the theoretical formulation in numerical modeling of materials used either for hydrophone or active sonar applications.

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