Statistical analysis Techniques for Error Propagation in Large-Scale Missile Systems

Abstract

The statistical covariance technique is proposed as a computer analysis tool for missile systems error propagation studies. It is shown that on representative examples the statistical covariance technique performs better, based on speed and accuracy, than the traditional Monte Carlo approach of averaging a large number of random simulation runs. Although exact only for linear, time-varying systems, the covariance technique gives attractive approximate results for wide range of nonlinear missile systems. The extension to nonlinear systems utilizes incremental equations about the noise-free solution. Except in the extreme cases of very harsh nonlinearities and high input noise levels, the statistical covariance technique has been shown to yield, for the systems considered, results comparable to 1000 Monte Carlo runs.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 1971
Accession Number
AD0739513

Entities

People

  • James R. Rowland
  • Willard M. Holmes

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Computational Science
  • Computer Programs
  • Computers
  • Covariance
  • Data Science
  • Equations
  • Information Science
  • Mathematical Filters
  • Miss Distance
  • Monte Carlo Method
  • Nonlinear Systems
  • Probability Density Functions
  • Random Variables
  • Simulations
  • Statistical Algorithms
  • Statistical Analysis

Readers

  • Approximation Theory.
  • Computational Fluid Dynamics (CFD)
  • Regression Analysis.