Development of Three Signal Processing Techniques. VELA Network Evaluation and Automatic Processing Research

Abstract

The gain in signal-to-noise ratio with respect to a bandpass filter was investigated as a function of input signal-to-noise ratio for a Wiener filter, a matched filter, and the three component adaptive filter. Each processor was applied to two southern Kamchatka events recorded at a single-site at the Alaskan Long Period Array (ALPA) and buried in two noise samples recorded there. A representative southern Kamchatka earthquake seismogram was formed by averaging spectra of events from that region. The Wiener filter used the resulting average power spectrum but no signal-noise correlation terms to achieve a 3 to 6 dB maximum gain over the bandpass filter. The average event was also used as a matched filter, which had a gain of 6 to 10 dB over the bandpass filter. With the help of a Monte Carlo simulation to determine the best form for the filter weights, the three component adaptive filter had a gain of from 10 to 17 dB over the bandpass filter.

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Document Details

Document Type
Technical Report
Publication Date
Oct 29, 1976
Accession Number
ADA041225

Entities

People

  • Stephen S. Lane

Organizations

  • Texas Instruments

Tags

Communities of Interest

  • Air Platforms
  • Counter IED
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Filters
  • Air Force
  • Bandpass Filters
  • Distribution Functions
  • E Band
  • Filters
  • L Band
  • Love Waves
  • Matched Filters
  • Monte Carlo Method
  • Power Spectra
  • Signal Processing
  • Spectra
  • Time Domain
  • W Band
  • Waves

Fields of Study

  • Engineering

Readers

  • Phased Array Antenna Design.
  • Seismology