A Multilevel Sampling Method for Detecting Sources in a Stratified Ocean Waveguide
Keji Liu, Yongzhi Xu, Jun Zou

TL;DR
This paper introduces a multilevel sampling method for efficiently detecting point sources in a stratified ocean waveguide, reducing computational demands while maintaining accuracy and robustness.
Contribution
The paper presents a novel direct sampling method that is simple, fast, and effective for source localization in stratified ocean environments.
Findings
Fast convergence demonstrated in simulations
Robustness against noise confirmed
Effective with few receivers
Abstract
In the reconstruction process of sound waves in a 3D stratified waveguide, a key technique is to effectively reduce the huge computational demand. In this work, we propose an efficient and simple multilevel reconstruction method to help locate the accurate position of a point source in a stratified ocean. The proposed method can be viewed as a direct sampling method since no solutions of optimizations or linear systems are involved. The novel method exhibits several strengths: fast convergence, robustness against noise, advantages in computational complexity and applicability for a very small number of receivers.
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Taxonomy
TopicsUnderwater Acoustics Research · Speech and Audio Processing · Seismic Waves and Analysis
