Accession Number : ADA956151

Title :   Position Finding with Prior Knowledge of Covariance Parameters.

Descriptive Note : Final rept.,

Corporate Author : CENTER FOR NAVAL ANALYSES ALEXANDRIA VA

Personal Author(s) : Nunn, Walter R.

Report Date : JUN 1979

Pagination or Media Count : 11

Abstract : Butterly presents a Bayesian approach as an alternative to the classical methods for solving the position-finding problem. Butterly assumes that bearing errors are independent and normally distributed with known variances. In the paper, the assumption of known variances is relaxed and it is shown that uncertainty about these variances can be incorporated into the model while also retaining the computational advantages of the Butterly formulation. It is also shown that the Bayes estimate and the classical maximum likelihood estimate will agree in certain cases.

Descriptors :   *POSITION FINDING, *BAYES THEOREM, ERRORS, FORMULATIONS, UNCERTAINTY, COVARIANCE, PROBLEM SOLVING, MAXIMUM LIKELIHOOD ESTIMATION, STATISTICAL ANALYSIS, MATHEMATICAL MODELS.

Subject Categories : Numerical Mathematics
      Radiofrequency Wave Propagation

Distribution Statement : APPROVED FOR PUBLIC RELEASE