Removal of Coherent Extremely Low Frequency (ELF) Background Noise by Adaptive Noise Cancelation

Abstract

The use of the Sequential Regression Algorithm (SER) to coherently remove background noise from an ELF sensor is presented. The SER algorithm is described for a multi-channel application in order to cancel coherent portions of reference sensors from a primary sensor. The algorithm adaptively accounts for differences between two parallel array platforms for the purpose of coherent subtraction. A section on likelihood ratio detector schemes for detecting narrowband signals is also presented. This work is in support of a submerged ELF sensor array project run by the Johns Hopkins University Applied Physics Lab. Extremely Low Frequency(ELF), Adaptive noise cancelation, Sequential Regression Algorithm(SER)

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Document Details

Document Type
Technical Report
Publication Date
Sep 23, 1993
Accession Number
ADA275016

Entities

People

  • Samuel J. Strange

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Electronic Warfare
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Cancellation
  • Detection
  • Detectors
  • Electrodes
  • Electromagnetic Fields
  • Electronic Warfare
  • Environment
  • Equations
  • Extremely Low Frequency
  • Filters
  • Filtration
  • Iterations
  • Numerical Analysis
  • Processing Equipment
  • United States
  • Warfare

Readers

  • Phased Array Antenna Design.
  • Radio communications and signal processing.
  • Research Science/Academic Research