Speaker
Mr
Abdul Manarvi
(Embry-Riddle Aeronautical University)
Description
Orbit determination has been a critical area of research ever since the start of space age. Research has been done in this area from defining accuracy goals for predicting orbits, to a host of software and hardware tools, techniques and methods. This paper was narrowed down to the most significant contributions in the area of Kalman filtering applications. Research work from 1967 to 2013 only is included in this paper. It was observed that examples from 1967 demonstrate the importance of pre-flight parametric studies when orbit determination estimations are carried out in short periods. Research also shows that extended Kalman filters can be made to work in real-data situations, contrary to what some professionals in the aerospace industry believe. Development of the extended Kalman filter requires some proper selection of parameters that define the probability density of the initial state vector, and any other parameters required by modifications to the extended Kalman filter algorithm. More recent research uses numerical methods such as the 4th order Runge-Kutta method to conclude that propogation errors are not a problem for 15-day solutions for orbits. This paper can be used as foundation for further investigations in the area of orbit prediction.
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Primary author
Mr
Abdul Manarvi
(Embry-Riddle Aeronautical University)
