Noise Cancellation and Source Localization

Abstract

A noise-canceling processor is developed for matched-field processing problems involving a signal buried in noise. This processor is based on modeling both signal and noise and searching the space of unknown parameters to achieve the best agreement between covariances. The noise-canceling processor reduces to the Bartlett processor in the limit of high signal-to-noise ratio. The examples, illustrate the localization of a source obscured by interference from ambient noise or a second source. The noise-canceling processor is also applied to localize a silent object using scattered ambient noise.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA634335

Entities

People

  • Laurie T. Fialkowski
  • Michael D. Collins
  • Nicholas C. Makris

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustics
  • Ambient Noise
  • Arrays
  • Cancellation
  • Covariance
  • Deep Oceans
  • Detection
  • Energy Levels
  • Equations Of State
  • Military Research
  • Noise
  • Ocean Environments
  • Oceans
  • Plane Waves
  • Seabed
  • Sediments
  • Sidelobes

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Parallel and Distributed Computing.
  • Phased Array Antenna Design.

Technology Areas

  • Space
  • Space - Space Objects