Global Geopotential Modelling from Satellite-to-Satellite Tracking,

Abstract

The error analysis of the global modelling of the geopotential has been carried out up to degree and order 331 of the spherical harmonic expansion, for data from a low-low satellite-to-satellite tracking (SST) mission. The sphericity and the rotation of the Earth have been considered, as well as the discrete nature of the data, assumed to consist of time averages of the measured range-rate sampled at regular intervals. The expansion of the potential has been truncated at degree n = 331, because little information on higher degrees is likely to be present in the data. Two theories have been used: that of least squares adjustment, and that of least squares collocation; above degree n = 200 the accuracies predicted according to collocation are significantly better than those according to least squares. In this report there is also a discussion on how to process SST data to obtain very high resolution models of the gravitational field. Descriptions and listings of computer programs are included. To reduce the computer time and storage needed to set up and to invert the normal matrix, a somewhat simplified orbital geometry and an approximate model of the data have been adopted; no orbit determination errors have been considered. Some arguments are given to justify these shortcuts, which may not affect seriously the validity of the results. An extention of the theory to non-polar orbits is given.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1981
Accession Number
ADA111872

Entities

People

  • Oscar L. Colombo

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Birds
  • Computational Science
  • Computer Programs
  • Computers
  • Data Processing
  • Estimators
  • Geodesy
  • Geometry
  • Geosynchronous Orbits
  • Intervals
  • Mathematical Filters
  • Measurement
  • Optimal Estimators
  • Physics Laboratories
  • Spacecraft

Readers

  • Computational Fluid Dynamics (CFD)
  • Regression Analysis.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space
  • Space - Orbital Debris