Position reconstruction of acoustic sources with the AMADEUS Detector

TL;DR

This paper presents methods for reconstructing the position of acoustic sources using the AMADEUS detector's sensor data, demonstrating algorithms with real deep-sea data to improve underwater source localization.

Contribution

It introduces algorithms for direction and position reconstruction of acoustic sources utilizing cluster-based data from the AMADEUS setup in the Mediterranean Sea.

Findings

Successful demonstration of position reconstruction algorithms

Effective use of cluster-based directional information

Improved accuracy in deep-sea acoustic source localization

Abstract

This article focuses on techniques for position reconstruction of acoustic point sources with the AMADEUS setup consisting of 36 acoustic sensors in the Mediterranean Sea. The direction reconstruction of an acoustic point source utilizes the information of the 6 small-volume hydrophone clusters of AMADEUS individually. Source position reconstruction is then done by combining the directional information of each cluster. The algorithms for direction and position reconstruction are explained and demonstrated using data taken in the deep sea.