Jet transport-based nonlinear state and parameter estimation for geostationary spacecraft
Rights accessOpen Access
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Based on the jet transport technique, this paper proposes a novel nonlinear Kalman filter for simultaneously estimating the spacecraft state vector and uncertain parameters, either physically related with the spacecraft or with the measurement procedure. Two different coordinate representations, including Cartesian and hybrid geostationary orbital elements, are exploited in the new nonlinear estimators. The performance and sensitivity analyses of the proposed jet transport-based nonlinear estimators are assessed by numerical simulations and compared with the classical extended Kalman filter
CitationChen, J. [et al.]. Jet transport-based nonlinear state and parameter estimation for geostationary spacecraft. "Acta astronautica", 1 Novembre 2019, vol. 164, p. 321-333.