Use of Drag Measurements to Improve Short-Term Orbit Prediction.

Abstract

The improvement in short-term orbit prediction that results from the use of real-time drag measurements to determine the initial vehicle vector has been studied using orbit simulation calculations. Realistic time-dependent behavior of the drag force was provided by the use of calorimeter data from an actual flight. The study was limited to a specific class of low-altitude orbits and to average conditions of magnetic activity. In five samples of calorimeter data, RMS errors in a 3-rev predict span were reduced by factors > or = 2 and > or = 3 in the radial and intrack components, respectively, caused solely by the improvement in the initial vector of the predict span. Errors that remain despite the utilization of a near-perfect starting vector could only be caused by improperly modeled drag effects. Because such effects are likely to be the limiting factor in prediction accuracy, improved capability of density prediction will be necessary to meet stringent mission requirements. Until reliable density forecasting capability becomes a reality, the 'persistence' feature of the atmosphere can be exploited to improve short-term prediction. In four out of five cases studied, prediction based on the last orbit of drag data in the fit span reduced errors significantly in the predict span. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 20, 1978
Accession Number
ADA063398

Entities

People

  • Barbara K. Ching
  • David R. Hickman

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Altitude
  • Atmospheres
  • Data Sets
  • Databases
  • Low Altitude
  • Materials
  • Materials Science
  • Measurement
  • Orbits
  • Physics Laboratories
  • Security
  • Simulations
  • Space Sciences
  • Test And Evaluation
  • Vehicles

Readers

  • Aerospace Engineering.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation

Technology Areas

  • Space
  • Space - Orbital Debris