Accession Number : AD0802152

Title :   OPTIMAL SAMPLING DISTRIBUTIONS FOR BAYES ESTIMATION OF RE-ENTRY PARAMETERS.

Descriptive Note : Interim technical rept.,

Corporate Author : UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF ELECTRICAL ENGINEERING

Personal Author(s) : McGhee, R. B. ; Walford, R. B.

Report Date : JUL 1966

Pagination or Media Count : 50

Abstract : Real time Bayesian estimation of the parameters of a non-linear dynamic system, such as a ballistic vehicle undergoing atmospheric re-entry, requires that the evaluation algorithm converge as rapidly as possible. One possible method for the evaluation of the Bayes estimate is by the use of Monte Carlo procedures. This report investigates the conditions necessary for the most rapid convergence of the Monte Carlo procedures for the evaluation of the Bayes estimate. (Author)

Descriptors :   (*REENTRY VEHICLES, ATMOSPHERE ENTRY), MATHEMATICAL MODELS, NONLINEAR SYSTEMS, MONTE CARLO METHOD, ALGORITHMS, REAL TIME, NUMERICAL ANALYSIS.

Subject Categories : Theoretical Mathematics
      Fluid Mechanics

Distribution Statement : APPROVED FOR PUBLIC RELEASE