Active Stealth in Submerged Environments: A Numerical Investigation

Abstract

Enemy acoustic sensors can present issues for U.S. Navy submarines that attempt to operate undetected. One potential way to address this threat is to use active noise cancellation to mask submarine noise. This thesis examines the feasibility of this idea by numerically solving a partial differential equation-constrained optimization problem to compute a masking signal for a given source signal as the signal propagates through a simulated 2D ocean environment. We examine how the location and type of source affect the strength of the cancellation. In particular, we show that it is possible to effectively cancel the sound from a source within a specific region - such as the area in proximity to an acoustic sensor - provided that the source's location and sound profile are known.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1213501

Entities

People

  • Dylan E Hyde

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Acoustic Metamaterials
  • Acoustic Propagation
  • Acoustics
  • Algorithms
  • Applied Mathematics
  • Differential Equations
  • Equations
  • Finite Element Analysis
  • Galerkin Method
  • Information Operations
  • Military Applications
  • Navigation
  • New York
  • Noise Pollution
  • Optimization
  • Partial Differential Equations
  • Sound Waves
  • Topology Optimization
  • United States
  • Wave Equations

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Radio communications and signal processing.
  • Systems Analysis and Design