Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter,Unscented Kalman Filter and Extended Kalman Filter

This article compares the attitude estimated by nonlinear estimator Cubature Kalman Filter with results obtained by the Extended Kalman Filter and Unscented Kalman Filter. Currently these estimators are the subject of great interest in attitude estimation problems, however, mostly the Extended Kalman Filter has been applied to real problems of this nature. In order to evaluate the behavior of the Extended Kalman Filter, Unscented Kalman Filter and Cubature Kalman Filter algorithms when submitted to realistic situations, this paper uses real data of sensors on-board the CBERS-2 remote sensing satellite (China Brazil Earth Resources Satellite). It is observed that, for the case studied in this article, the filters are very competitive and present advantages and disadvantages that should be dealt with according to the requirements of the problem.     

An evaluation of Jacchia and MSIS 90 atmospheric models with CBERS data

“CBERS” (China Brazil Earth Resources Satellite) was put into orbit on 14^th of October 1999. The atmospheric drag is the major non-gravitational perturbation affecting the control of ground track. As accuracy requirements increase, greater reliance is placed on the empirical techniques. During the initial operational phase of CBERS, the solar activity is almost at its peak. This phenomenon has provided an opportunity to carry out an evaluation of the atmospheric density models. The study puts emphasis on two commonly used atmospheric density models viz. Jacchia and Mass Spectrometer Incoherent Scatter (MSIS). The analysis is based on the decay histories of CBERS to choose the accurate density model. Density models used for orbit propagation are usually derived empirically from actual flight data. Brief synopsis of some of the models is presented along with some of the density tables and orbit solutions of CBERS. Typical plots of density are presented. The study indicated that the drag estimation is relatively precise using MSIS based models. Among them MSIS-90 density model is observed to be a better compromise in terms of accuracy, flexibility and computational aspects. The analysis would be useful in mitigating the impact of solar activity on orbit prediction and maintenance.