Estimating a Seismic Station's Detection Capability from Noise. Application to VLPE Stations

Abstract

Since the detection of a seismic event depends on the signal-to-noise ratio at a receiving site or station one may derive detection threshold magnitudes from the ambient noise levels. The statistical distribution of either peak noise amplitudes or RMS noise levels then determine the probability of detecting an event of a given magnitude. The conditions for the validity of this method of estimating detection capabilities, and the parameters involved, are specified. The analysis shows that results obtained from this method should differ little from maximum likelihood direct method estimates. Application of this method to stations of the Very Long Period Experiment (VLPE) confirms the analytical results. As few as 30 reliable daily noise samples yield good 50% detection threshold estimates.

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Document Details

Document Type
Technical Report
Publication Date
Oct 22, 1974
Accession Number
ADA015053

Entities

People

  • Rudolf Unger

Organizations

  • Texas Instruments

Tags

Communities of Interest

  • Counter IED
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Ambient Noise
  • Data Processing
  • Data Science
  • Detection
  • Distribution Functions
  • Information Processing
  • Information Science
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Statistical Distributions
  • Statistics
  • Surface Waves
  • Waves

Readers

  • Computer Vision.
  • Phased Array Antenna Design.
  • Regression Analysis.