Jet Transport-Based High Order Kalman Filter for Joint Orbit and Parameter Estimation
摘要
Based on the Jet Transport technique, this chapter 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.