A Fast Estimation Algorithm for Two-Dimensional Gravity Data (GEOFAST),

Abstract

This report describes an algorithm for the efficient computation of minimum-variance estimates from large amounts of two-dimensional gravity data. The method (called GEOFAST for 'geodetic fast estimation') is based on the fast Fourier transform and takes advantage of the underlying structure of the statistical models in the frequency domain. An approximate solution is obtained in a number of computer operations proportional to N log sub 2, where N is the number of data points and the proportionality constant is controlled by the desired level of accuracy. Results are presented from two test cases, using GEOS-3 radar altimeter data to estimate mean gravity anomalies, which verify the efficiency and accuracy of the algorithm. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 15, 1979
Accession Number
ADA086835

Entities

People

  • Kevin S. Tait

Organizations

  • TASC, Inc

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Altimeters
  • Computational Complexity
  • Computer Programs
  • Computers
  • Databases
  • Fourier Transformation
  • Frequency
  • Frequency Domain
  • Gravity
  • Gravity Anomalies
  • Grids
  • Measurement
  • Radar Altimeters
  • Two Dimensional

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Regression Analysis.
  • Space Exploration and Orbital Mechanics.