Signal processing and inversion methods for quantification of mid- and high- frequency broadband acoustic scatterers

Abstract

This proposal aims to develop new statistical signal processing approaches for analysis of broadband acoustic backscattering data from discrete targets and aggregations of targets and apply Baysian inversion techniques to broadband scattering data from discrete targets and aggregations of targets. The analysis will focus on acoustic scattering data from individual fish and aggregations of fishes in the Deep Sound Scattering Layer (DSL) collected during the TFO-funded New England Shelf Break Acoustic and Seamounts Acoustics experiments. Broadband echosounder data were collected on a number of different platforms, including a REMUS 600 autonomous vehicle (30 -45 kHz, 55 - 90 kHz, 95 - 160 kHz), a mooring instrumented at 600m in the DSL (30 - 45 kHz), and towed platform with an ultra-wideband multi-channel acoustic scattering system (5 - 19 kHz, 20 # 48 kHz, 55 # 90 kHz, 95 # 160 kHz, 160-260 kHz, and 280 # 420 kHz). Advancing the signal processing and inversion approaches to interpreting acoustic scattering data will allow overarching questions regarding the distribution and abundance of fishes, and their impact on acoustic scattering, propagation, and attenuation, to bebetter addressed and quantified. Once developed, these approaches will be used to better understand the depth-dependent variabilityof fish target strength, the daily migration of fishes from the DSL during the day to the surface waters at night, and the impact of the Gulf Stream and mesoscale physics on the distribution, abundance, and diversity of fishes. This work will primarily be completed by an MIT-WHOI Joint Program (JP) graduate student co-advised by the named PIs. One of the specific goals of this proposal is to provide rigorous training to an ocean acoustics JP graduate student. A final goal is to investigate the potential of using acoustic vector sensors to develop a compact system to measure acoustic backscatter and localize acoustic targets in mid-frequency sonars, potentially changing the way in which fisheries acoustics can be conducted at mid-frequencies relevant to quantification of swim-bladdered fish.Approved for public release.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 08, 2024
Source ID
N000142412514

Entities

People

  • Andone Lavery

Organizations

  • Office of Naval Research
  • United States Navy
  • Woods Hole Oceanographic Institution

Tags

Readers

  • Acoustical Oceanography.
  • Distributed Systems and Data Platform Development

Technology Areas

  • Autonomy