North Pacific Acoustic Laboratory

Abstract

The ultimate limits of long-range sonar are imposed by ocean variability and the ambient sound field. Scattering from internal waves limits the temporal and spatial coherence of the received signal. Low frequency noise is dominated by shipping and ultimately, by wave-breaking processes. The resulting "granularity" of the noise field can be exploited for detection and localization purposes. Our ultimate objective is to understand the fundamental limits to signal processing imposed by these ocean processes, to enable advanced signal processing techniques, including matched field processing and other adaptive array processing methods, to capitalize on the three-dimensional character of the sound and noise fields. The objective of this research is to understand the basic physics of low frequency, broadband propagation and the effects of environmental variability on signal stability and coherence. In particular, it focuses on 3-D wave front coherence (horizontal, vertical, and temporal), on the details of signal energy redistribution through mode scattering, on signal and noise variability on ocean-basin scales, and on environmental processes such as internal waves that most affect long-range coherence.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1998
Accession Number
ADA537373

Entities

People

  • Peter F. Worcester
  • Robert C. Spindel

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Measurement
  • California
  • Climate Change
  • Detection
  • Detectors
  • Frequency
  • Internal Waves
  • Local Governments
  • Marine Mammals
  • Measurement
  • Physics
  • Physics Laboratories
  • Scattering
  • Signal Processing
  • Teamwork
  • Three Dimensional
  • Travel Time

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Radar Systems Engineering.