Adaptive Signal Extraction in a Nonstationary Gaussian Noise Field.

Abstract

Mathematical techniques have been developed for analyzing iterative algorithms which minimize mean-square error in sonar array signal processing, involving no explicit time-averaging. Analysis shows that these 'adaptive' algorithms can 'track' a moving noise field in the sense that the mean-square error is less than that of the standard processor, and the time-averaged mean-square error can be less than that of a fixed processor which is optimum for only one instant. A new algorithm is proposed. The algorithms considerably reduce the number and complexity of calculations involved in Wiener processing. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1969
Accession Number
AD0851132

Entities

People

  • Burwell Goode

Organizations

  • Naval Undersea Warfare Center

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Extraction
  • Gaussian Noise
  • Noise
  • Signal Processing
  • Sonar Arrays
  • Standards

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Phased Array Antenna Design.