A Study of the Optimization Problem for Calibrating a Lacoste and Romberg 'G' Gravity Meter to Determine Circular Errors,

Abstract

This report discusses how the circular errors of a gravity meter could be effectively calibrated in a laboratory. An optimization method is used in this study. Minimization of the trace of the variance-covariance matrix of adjusted parameters, is adopted as the criterion for the optimization. The mathematical analysis of the trace is made in the case of one wavelength in order to find the best distribution of observations, as well as the worst. For several wavelengths, a number of simulative computations are carried out for finding effective distribution of observations and the best weights, as well as the worst. A set of numerical solutions for the equations over a certain range of observations is obtained. Based on the simulative studies, the concepts of phase distribution and effectiveness of observations in the periodic error calibration are presented and so a design for the most effective distribution of observations is introduced. For the calibration of periodic errors with several wavelengths, it is preferable to select two weights that can be mutually compensated in fitting them with all involved periods. An attempt is made to answer how many observations should be made for determining the periodic screw errors with reasonable accuracy. Keywords: Harmonic analysis; Laboratory calibration; Periodic screw error function; Simulative adjustment; Optimization.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA165218

Entities

People

  • Dingbo Chao
  • Edward M. Baker

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Facilities
  • Birds
  • Calibration
  • Computational Science
  • Contracts
  • Covariance
  • Data Acquisition
  • Earth Sciences
  • Equations
  • Geophysics
  • Long Wavelengths
  • Mathematical Analysis
  • Measurement
  • Observation
  • Three Dimensional

Readers

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