Detection localization and tracking of aircraft using Sparse distributed passive acoustic system

2017 ◽  
Vol 142 (4) ◽  
pp. 2555-2555
Author(s):  
Alexander Sedunov ◽  
Hady Salloum ◽  
Alexander Sutin ◽  
Nikolay Sedunov ◽  
David Masters
Keyword(s):  
Acoustic System ◽  
Passive Acoustic ◽  
Localization And Tracking

Active–passive acoustic system for underwater port protection

2013 ◽  
Vol 134 (5) ◽  
pp. 4077-4077 ◽  
Author(s):  
Hady Salloum ◽  
Andrew Meeecham ◽  
Alexander Sutin
Keyword(s):  
Acoustic System ◽  
Passive Acoustic

Passive acoustic localization and tracking using synthetic data for the Northern Gulf of Mexico

2017 ◽  
Vol 142 (4) ◽  
pp. 2586-2586
Author(s):  
Britt J. Aguda ◽  
Kirk D. Bienvenu ◽  
Bradley J. Sciacca ◽  
Joshua Veillon ◽  
SydniCherise O. Austin ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Synthetic Data ◽  
Acoustic Localization ◽  
Northern Gulf Of Mexico ◽  
Passive Acoustic ◽  
Localization And Tracking

Stevens Passive Acoustic system for surface and underwater threat detection

2013 ◽  
Author(s):  
Alexander Sutin ◽  
Hady Salloum ◽  
Michael DeLorme ◽  
Nikolay Sedunov ◽  
Alexander Sedunov ◽  
...  
Keyword(s):  
Threat Detection ◽  
Acoustic System ◽  
Passive Acoustic

scholarly journals Advances in passive acoustic detection, localization, and tracking applied to unmanned underwater vehicles

2022 ◽  
Author(s):  
◽  
Kristen R. Kita
Keyword(s):  
High Frequency ◽  
Underwater Vehicles ◽  
Broadband Noise ◽  
Cavitation Noise ◽  
Unmanned Underwater Vehicles ◽  
Motor Noise ◽  
Acoustic Signature ◽  
Range Rate ◽  
Passive Acoustic ◽  
Localization And Tracking

Detection, classification, localization, and tracking (DCLT) of unmanned underwater vehicles (UUVs) in the presence of shipping traffic is a critical task for passive acoustic harbor security systems. In general, vessels can be tracked by their unique acoustic signature due to machinery vibration and cavitation noise. However, cavitation noise of UUVs is considerably quieter than ships and boats, making detection significantly more challenging. In this thesis, I demonstrated that it is possible to passively track a UUV from its highfrequency motor noise using a stationary array in shallow-water experiments with passing boats. First, causes of high frequency tones were determined through direct measurements of two UUVs at a range of speeds. From this analysis, common and dominant features of noise were established: strong tones at the motor’s pulse-width modulated frequency and its harmonics. From the unique acoustic signature of the motor, I derived a high-precision, remote sensing method for estimating propeller rotation rate. In shallow-water UUV field experiments, I demonstrated that detecting a UUV from motor noise, in comparison to broadband noise from the vehicle, reduces false alarms from 45% to 8.4% for 90% true detections. Beamforming on the motor noise, in comparison to broadband noise, improved the bearing accuracy by a factor of 3.2×. Because the signal is also high-frequency, the Doppler effect on motor noise is observable and I demonstrate that range rate can be measured. Furthermore, measuring motor noise was a superior method to the “detection of envelope modulation on noise” algorithm for estimating the propeller rotation rate. Extrapolating multiple measurements from the motor signature is significant because Bearing-Doppler-RPM measurements outperform traditional bearing-Doppler target motion analysis. In the unscented Kalman filter implementation, the tracking solution accuracy for bearing, bearing rate, range, and range rate improved by a factor 2.2×, 15.8×, 3.1×, and 6.2× respectively. These findings are significant for improving UUV localization and tracking, and for informing the next-generation of quiet UUV propulsion systems.

Automated passive acoustic detection, classification, localization, and tracking methods applied to recorded data from the Pacific Missile Range Facility, Kauai, Hawaii

2017 ◽  
Vol 142 (4) ◽  
pp. 2588-2588 ◽  
Author(s):  
Stephen W. Martin ◽  
Brian Matsuyama ◽  
Tyler A. Helble ◽  
Cameron R. Martin ◽  
E. E. Henderson ◽  
...  
Keyword(s):  
Acoustic Detection ◽  
The Pacific ◽  
Recorded Data ◽  
Passive Acoustic ◽  
Localization And Tracking

Stevens Passive Acoustic System for underwater surveillance

2010 ◽  
Author(s):  
Alexander Sutin ◽  
Barry Bunin ◽  
Alexander Sedunov ◽  
Nikolay Sedunov ◽  
Laurent Fillinger ◽  
...  
Keyword(s):  
Acoustic System ◽  
Passive Acoustic

An inexpensive passive acoustic system for recording and localizing wild animal sounds

2000 ◽  
Vol 107 (6) ◽  
pp. 3552-3555 ◽  
Author(s):  
Sean A. Hayes ◽  
David K. Mellinger ◽  
Donald A. Croll ◽  
Daniel P. Costa ◽  
J. Fabrizio Borsani
Keyword(s):  
Wild Animal ◽  
Acoustic System ◽  
Passive Acoustic
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