Source Finiteness, Signal Decorrelation, Spectral Scalloping and Identification of Multiple Delayed Explosions,

Abstract

Our results show that a generalized model that includes propagation delays and signal decorrelation can reproduce numerous observed features in the spectral modulation patterns of regional phases from quarry blasts. Analyses of spectra associated with various regional arrivals of the same event revealed differences in modulation strength and apparent shifts in modulation patterns. These may be associated with source finiteness, propagation delays and signal decorrelation. Potentially these features can be used to derive information with regards to the spatial extent and layout of shot arrays. Modulation patterns or the locations of first minima in the spectra are generally not determined solely by the time duration of the shot sequences as often claimed, but are complex functions of numerous factors. Lack of spectral modulation does not necessarily indicate a single explosion or the absence of ripple firing either. Since this project has just begun, the results presented here are relevant only a to a subset of the tasks to be performed under this contract

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Document Details

Document Type
Technical Report
Publication Date
Aug 14, 1995
Accession Number
ADP204490

Entities

People

  • Douglas R. Baumgardt
  • Zoltan A. Der

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Arrays
  • Data Analysis
  • Detectors
  • Doppler Effect
  • Frequency
  • Frequency Shift
  • Genetic Algorithms
  • Identification
  • Phase Velocity
  • Power Spectra
  • Signal Processing
  • Spectra
  • Wave Propagation
  • Waveforms
  • Waves

Readers

  • Image Processing and Computer Vision.
  • Seismology
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference