Non-Stationary Estimation in Gravity Prediction Problems.

Abstract

This report investigates the impact that the assumptions of homogeneity and isotropy, when applied to potential related fields, have upon the stochastic processes which are applied to these fields. After seeing how these assumptions are incorporated into the statistical model to produce the familiar covariance function, the investigation centers on techniques which can be used to detect the presence of anisotropy in the field. The method found most useful in the two-dimensional covariance function, and some methods of representing this function are also investigated. Numerical studies are then carried out to see the effect the use of the 2-D covariance function has upon the results of prediction and collocation computations. It is found that, under certain circumstances, the 2-D function produces a result superior to that given by the general function. Recommendations are then given as to when the 2-D covariance function should be used in practical solutions, and suggestions made as to the possible areas of futher research. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1977
Accession Number
ADA048889

Entities

People

  • William Kearsley

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Coefficients
  • Covariance
  • Cross Correlation
  • Data Analysis
  • Data Science
  • Data Sets
  • Gravity Anomalies
  • Grids
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • New York
  • Power Spectra
  • Statistical Analysis
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Plasma Physics / Magnetohydrodynamics
  • Systems Analysis and Design