Error Models for Prototype Moving-Base Gravity Gradiometers

Abstract

In order to adequately understand the advantages and limitations of gradiometers in relation to other gravimetric sensors, some characterization (i. e., a model) of gradiometer sensor errors is required. In past analyses white noise, first-order Markov or bias gradiometer models have been assumed. Such models have been useful for providing insight into navigation, weapon system and gravity survey performance as a function of broad classes of gradiometer errors. In this role the generalized parametric models have provided indications of the benefits and limitations of gravity gradiometers. Now, as attention turns toward the application of specific gradiometer instruments (e. g., Bell, CSDL and Hughes) to particular survey and navigation missions, there is a need to assess the efficacy of different gravimetric sensors across all gravity field wave- lengths which requires more than parametric representations of the effects of gradiometer error sources. The purpose of this report is to develop preliminary error models for each of the three gradiometers consistent with the current state of their technology.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 1977
Accession Number
ADA044882

Entities

People

  • Warren G. Heller

Organizations

  • TASC, Inc

Tags

Communities of Interest

  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Control Systems
  • Corporations
  • Data Processing
  • Equations
  • Equations Of State
  • Frequency
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • Measurement
  • Navigation
  • Power Spectra
  • Spectra
  • Surveys
  • Transfer Functions
  • White Noise

Readers

  • Computational Modeling and Simulation
  • Inertial Navigation Systems.
  • Marine Hydrodynamics