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SiPLAB products:

AOB2 at sea

Acoustic Oceanographic Buoy (AOB)

The AOB is an integrated system composed of a piece of hardware to be deployed at sea (from a surface ship or aircraft) and a software utility that interfaces with the user at a remote location on real time. The AO-Buoy capabilities are as follows:

  • easy to handle system tending to the size, weight and autonomy of a standard sonobuoy
  • several depth modulable wideband acoustic and non-acoustic (thermistors, depth sensors, ...) channels
  • on the buoy GPS for time and location reference
  • on the buoy pre-processing for data reduction and analysis
  • fast remote wireless communications for data online monitoring and processing
  • online tracking of AO-Buoy position, status and data being acquired
  • real time data processing with the following scopes: water column temperature profiling via tomographic inversion, geo-acoustic bottom inversion, sound source detection, localization and tracking and underwater communications in the band up to 16 kHz.
Applications sought are: rapid environmental assessment (REA), bottom profiling and exploration, rapid submarine detection, localization and identification and communications with submerged targets (benthic labs, AUV's, subs, etc...).

Recent publications:

JMSE logo A Methodology for Shipping Noise Field Calibration and Excess Noise Estimation: the Azores Case Study, J.Mar.Sci.Eng, Vol.10, 1763 June [PDF].

sensors logo Vector Sensor Steering-Dependent Performance in an Underwater Acoustic Communication Field Experiment, Sensors, 22 8332 [PDF]
fms logo Megameter propagation and correlation of T-waves from Kermadec Trench and Islands, Front. Mar. Sci. 9:1009013, Oct 2022 [PDF]

Featured products:

Logo of project JONAS


download zip or github, a Python open source version of the PAMGuide package for Passive Acoustic Monitoring that features the Exchange Data Format (EDF) for facilitated underwater acoustic data sharing and metadata handling. Python allows for a crossplatform licence free processing of raw acoustic data and EDF output. A library of Python routines for EDF data reading and writing are also available. See manual here.

Head wave propagation using Traceo


an efficient Gaussian beam 2D ray tracing model for underwater acoustic propagation, handling full bottom and water column range dependency, obstacle scattering and producing particle velocity outputs. See manual here and download a free copy for Fortran. A C version for linux and/or Windows is available here and for GPU here.