Orbit Prediction And Filtration Strategies Of Space Debris

Space Debris Collision Prediction Analysis is important to guaranteeing space probe's safety. Processing analysis about it becomes more and more important for debris on the track manifold. The paper is study about maneuver of orbit filtration and orbit predict in Space Debris Collision Prediction Analysis. Its result is directly applied to environment subsystem about space debris , it roots in a project of prediction database based on network from spaceflight office of shanghai.Firstly, This paper processes geometry filtration based on character of orbit's apogee and perigee after orbit model is analyzed and based. Secondly Space Debris is separated into two kinds, coplanar and not coplanar according as location interrelation of target and debris. In Dynamic filtration's processing, considering prediction time limit and orbit perturbation, secular effects which have increaser effect is considered so that some need catching danger time point is appeased, some law about time when target and debris pass intersectant line each other is inferred, when debris and object are in different plane and some similar law also is inferred otherwise. The time list is arithmetical progression. These laws can improve calculation efficiency remarkably; Lastly orbit predict is a course approaching least distance. Danger time point in the last step become beginning time point from which debris and object's position and velocity are calculated by SXP4 Model which is an analytic model.By result, determine that relative movement trend is closer or apart, farther calculate the interval apart from time when predictive least relative distance occurs. Least relative distance and time when least distance occurs is calculated finally. It is a fast approach course adopting varied interval.Collision Prediction Analysis is predictive course, in the course of prediction analysis there are some parameters which were selected. Those parameters affect some property of prediction result certainly, including dependability veracity of prediction information and speediness of prediction, therefore they are selected rational and correctly. In this paper, these parameter is confirmed by result of program test., it satisfy prediction require.