MINIMUM-POWER ARRAY PROCESSING OF THE TFO LONG-NOISE SAMPLE

Abstract

The report investigates the effectiveness of the minimum-power array processing technique in determining seismometer inequalizations. The technique involves partitioning the seismometer array into two groups and designing MCF's for each group so that the mean-square-error between the two MCF outputs is a minimum under the constraint that the output power of one of the MCF's is unity. The two MCF sets are known as the group-coherence filters; the difference between these sets is known as the minimum-power array processor. Estimates of the noise wavenumber spectrum from the wavenumber responses of the group- coherence filters are distorted due to seismometer inequalization; however, a more reasonable estimate of the noise wavenumber spectrum from the wavenumber response of the minimum-power array processor should be possible because the minimas in the processor's wavenumber response correspond to the wavenumber regions where the wavenumber responses of the two group-coherence MCF's are very similar (e.g., at the peaks of the noise wavenumber power spectrum).

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 1968
Accession Number
AD0829859

Entities

People

  • Aftab Alam
  • George D. Hair
  • John P. Burg

Organizations

  • Texas Instruments

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Contracts
  • Covariance
  • Directional
  • Eigenvalues
  • Eigenvectors
  • Energy
  • Equations
  • Frequency
  • Identities
  • Matrix Theory
  • Notation
  • Power Spectra
  • Random Variables
  • Rayleigh Waves
  • Spectra
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Seismology