A method for modeling and forecasting that motion trajectory of space cluster target

Abstract

A method for characterizing and forecasting that trajectory of space group target features is disclosed, relating to the field of aerospace. That the mathematical model of the trajectory of group target is used to characterize the trajectory of space group target, and the tracking and forecasting accuracy of such target is improved. This method decomposes the cluster target motion into two parts:the whole cluster motion event and the salient target motion event in the cluster. For the whole cluster, the movement rule is characterized and predicted from the movement trend of cluster center, the evolution of cluster spatial structure and the relative movement of subgroups. For the salient target, based on the target resolution, the hierarchical modeling idea, the application of dynamics, kinematics and compensation modeling techniques are combined to achieve the characterization and prediction of its motion characteristics. The method described in the patent adopts the idea of combiningthe whole tracking with the local resolution to realize the modeling and prediction of the motion trajectory of the space cluster targets, and can directly serve the design of the tracking methods inthe fields of the space debris environment monitoring, the on-orbit service, the anti-missile early warning, the situation sensing, and the like, so as to improve the tracking performance of the cluster targets.

Description

technical field [0001] The invention relates to the field of aerospace technology, and is a cluster target-oriented method for building a motion trajectory model and forecasting a trajectory. Background technique [0002] Missile multi-warhead attacks or decoy jamming, orbital elements generated by collisions, debris clouds that have not yet dispersed, and formation satellites flying relatively close together, all have typical cluster characteristics. A cluster target refers to a multi-target set that maintains a relatively fixed spatial position for a long enough period of time under a given spacing constraint. Due to dense objects within the cluster and insufficient sensor resolution, the objects are partially resolvable. In addition, due to the mutual interference and occlusion between targets, the measurement is inconsistent with the number of targets, and they cannot be accurately correlated one by one, resulting in intermittent target tracks, making it difficult to ma...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a modeling method for characterizing the motion characteristics of clusters for solving and forecasting the motion trajectories of space cluster targets in the aerospace field, and to overcome the defects of traditional methods that only aim at modeling a single target. Improve cluster target tracking performance

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