An autonomous underwater vehicle towed hydrophone array for ocean acoustic measurements

2005 ◽  
Vol 117 (4) ◽  
pp. 2624-2624 ◽  
Author(s):  
Jason D. Holmes ◽  
William M. Carey ◽  
James F. Lynch ◽  
Arthur E. Newhall ◽  
Amy Kukulya
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Acoustic Measurements ◽  
Hydrophone Array

scholarly journals Results from an autonomous underwater vehicle towed hydrophone array experiment in Nantucket Sound

2006 ◽  
Vol 120 (2) ◽  
pp. EL15-EL21 ◽  
Author(s):  
Jason D. Holmes ◽  
William M. Carey ◽  
D. Keith Wilson ◽  
James F. Lynch ◽  
D. Keith Wilson
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Hydrophone Array

Multiple Model Algorithm for Single-Beacon Navigation of Autonomous Underwater Vehicle without Its A Priori Position. Part 2. Simulation

2020 ◽  
Vol 28 (3) ◽  
pp. 76-94
Author(s):  
D.A. Koshaev ◽  
◽  
Keyword(s):  
Inertial Navigation System ◽  
Autonomous Underwater Vehicle ◽  
Angular Rate ◽  
A Priori ◽  
Underwater Vehicle ◽  
Multiple Model ◽  
Acoustic Measurements ◽  
Beacon Navigation ◽  
Model Algorithm ◽  
Water Speed

The algorithm presented earlier is updated for the case when an autonomous unmanned vehicle (AUV) is equipped with a strapdown inertial navigation system (SINS) based on angular rate sensors and a water speed log. The algorithm simulation results for a SINS of navigation grade, a two-component water speed log, two trajectories of the AUV motion when approaching the beacon to a distance of 100 m; two values of the AUV’s speed; solid and fragmented diagrams of received acoustic measurements are presented. The results show that the algorithm provides the AUV positioning accuracy of several meters even in the situations when the received acoustic measurements are discontinuous. It has been found that the accuracy characteristics provided by the algorithm adequately reflect the level of real errors.

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