Discrete Environmental Characterization Using Acoustic Sources of Opportunity and Machine Learning
Abstract
The main objectives of the project are: 1) Develop method to characterize the environment and the associated uncertainties using a" single fixed hydrophone, sources of opportunity, and Bayesian inversion scheme; 2) Formulate and solve the previous problem within a probabilistic ML framework and assess the ML usefulness; 3) Extend the previous developments to an AUV context (moving receiver and limited environmental awareness); 4) Train a MIT/WHOI Joint Program student in both acoustics and ML; 5) Conduct an AUV seatrial to validate the proposed methods. To reach the objectives, the project is divided into technical tasks: data analysis (task 1), development of ML methods (task 2), development of signal processing method (task 3), teaching (task 4) and realization of a field expe"riment (task 5).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 20, 2019
- Source ID
- N000141912627
Entities
People
- Julien Bonnel
Organizations
- Office of Naval Research
- United States Navy
- Woods Hole Oceanographic Institution