Monte Carlo Simulation of Magnitude-Angle Error Sources.

Abstract

A common error source in Monte Carlo simulation takes the form of a random magnitude at a random angle. This occurs with winds that may have a random angular misalignment oriented in a random direction. A common way of handling this type of error in Monte Carlo simulation is to obtain the magnitude from a gaussian distribution of zero mean and desired standard deviation and to obtain the direction from a uniform distribution. Another common method of handling this error source is to obtain two values from gaussian distribution with zero mean and equal standard deviation and calculate the magnitude and angle. To fully understand each method, the joint probability distribution functions are derived and shown as three-dimensional plots. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1993
Accession Number
ADA263738

Entities

People

  • Philip N. Jenkins

Organizations

  • United States Army Aviation and Missile Command

Tags

DTIC Thesaurus Topics

  • Data Science
  • Distribution Functions
  • Gaussian Distributions
  • Information Science
  • Monte Carlo Method
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Simulations
  • Standards
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.
  • Statistical inference.