Citation
Abstract
The Kalman Earth Orientation Filter (KEOF) developed at the Jet Propulsion Laboratory (JPL) is an operational software system that generates real-time and retrospective estimates as well as predictions of the Universal Time and polar motion (UTPM) parameters used in Earth orientation calibrations to support all JPL interplanetary flight projects. KEOF accomplishes this task by the timely combination of specific UTPM measurements using the Kalman filter and smoother algorithms. The behaviors of KEOF are governed by the stochastic models for the three UTPM parameters as well as the observation models that relate the dynamical variables with the measurements and quantify the measurement uncertainties. Since the first publication of the KEOF’s governing equations in 1988, the structures of these stochastic and observation models and their parameter values have undergone steady updates due to advances in scientific understanding of the forces that affect Earth’s rotation and orientation as well as improvements in accuracy of the instruments that measure these phenomena. This article describes the past and present versions of stochastic and observation models, including those used currently in KEOF operations. It also suggests potential areas of future improvements.
Keywords
Details
- Volume
- 42-176
- Published
- February 15, 2009
- Pages
- 1–25
- File Size
- 716.2 KB