Correction of the Relative Coordinates by Range using the Maximum Likelihood Method

Abstract

The maximum likelihood estimating algorithm for complexion measurement of the relative coordinates and distance was created, the most efficient use of heterogeneous data sources is allowed. The accuracy of the algorithm is investigated in two ways: analytically and by numerical simulation. The applicability of the analyses is given, the coordinate filter, implemented the developed assessment, is constructed.

Keywords

• maximum likelihood estimation
• fisher information matrix
• navigation data complexing
• relative coordinate correction