Analysis of Kalman Filter Mechanizations for an Idealized Rocket Launch

Abstract

A study is performed to estimate various states of a vehicle launched from an idealized spherical, airless, nonrotating earth. A tracking radar measures slant range and elevation of the vehicle and yields an output which is corrupted by additive Gaussian noise. In addition, the vehicle is disturbed by a random specific force during its boost phase. Estimation of the vehicle states is done by two different Kalman Filter mechanizations which are linearized applications of the optimal theory. A Monte Carlo computer simulation is used to compare the performance of the two filter mechanizations.

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Document Details

Document Type
Technical Report
Publication Date
Jan 03, 1972
Accession Number
AD0739911

Entities

People

  • Harold L. Pastrick

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Altitude
  • Computational Science
  • Computer Simulations
  • Control Systems
  • Differential Equations
  • Elevation
  • Estimators
  • Filters
  • Fire Control Radar
  • Flight
  • Guidance
  • Guided Projectiles
  • Kalman Filters
  • Mathematical Filters
  • Simulations
  • Slant Range

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Software Engineering
  • Space Exploration and Orbital Mechanics.