A Gaussian deterministic approach to smoothing and prediction for application to spacecraft attitude and orbit determination

Author

Hodgart, M.S. ; Tortora, P. ; Morrison, N.

Author_Institution

Space Centre, Surrey Univ., Guildford, UK

fYear

2000

fDate

2000

Firstpage

687

Lastpage

695

Abstract

Some theory is presented, with results from simulation, that identify a filter/estimator in the style of the Kalman filter. It promises some significant advantages relative to the usual filter in typical satellite (and other) applications. We call it a fading Gaussian deterministic filter and outline its main features

Keywords

Gaussian processes; Kalman filters; attitude control; attitude measurement; covariance analysis; least mean squares methods; prediction theory; recursive estimation; recursive filters; smoothing methods; state estimation; Gaussian deterministic approach; Kalman filter; error covariance; fading Gaussian deterministic filter; fading cost function; global optimisation; least square minimisation; prediction; recursive concept; smoothing; spacecraft attitude determination; spacecraft orbit determination; state estimation; time-varying linear system; tuning statistics; Fading; Filtering; Gaussian processes; Kalman filters; Mathematics; Position measurement; Random processes; Satellites; Smoothing methods; Space vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

National Aerospace and Electronics Conference, 2000. NAECON 2000. Proceedings of the IEEE 2000

Conference_Location

Dayton, OH

Print_ISBN

0-7803-6262-4

Type

conf

DOI

10.1109/NAECON.2000.894980

Filename

894980