Rapid Determination of Satellite Visibility Periods

Abstract

This paper presents a numerical method to rapidly determine the rise- set times of satellite-satellite and satellite ground station visibility periods, with the line-of-sight corrected for an oblate Earth. The algorithm uses space curve modeling technique known as parabolic blending to construct the waveform of the visibility function, psi (t), versus time. The waveform is produced from either uniform or arbitrarily spaced abscissa points, from which rise-set times are obtained by extracting the real roots of a localized cubic polynomial. This algorithm works for all orbital eccentricities and perturbed satellite motion, provided the visibility function, psi(t), does not become discontinuous as it could from thrusting or deploying a tether. For this study, the rise-set truth table is constructed using a standard five second step-by- step integration with a linear interpolator to locate the exact crossing times. ne simulation results from this algorithm are almost identical to those obtained by modeling satellites subject to first order secular perturbations caused by mass anomalies, but generated in considerably less time. Advantages of this numerical method include compact storage and ease of calculation, making it attractive for supporting ground-based and autonomous onboard satellite operations.... Mathematical models, Numerical methods and procedures, Parabolas, Visual surveillance, Tracking, Visibility, Observation satellites (artificial).

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA267281

Entities

People

  • David Negron Jr.
  • Jennifer L. Moore
  • Salvatore Alfano

Organizations

  • United States Air Force Academy

Tags

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Computational Science
  • Computer Graphics
  • Curve Fitting
  • Equations
  • Geometry
  • Ground Stations
  • Line Of Sight
  • Orbital Elements
  • Orbits
  • Simulations
  • Stations
  • Tracking Stations
  • United States
  • United States Air Force Academy
  • Vehicles

Readers

  • Approximation Theory.
  • Distributed Systems and Data Platform Development
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space
  • Space - Orbital Debris
  • Space - Satellites