Intelligent real-time prediction method for high-speed large-range maneuvering target track

Abstract

The invention discloses an intelligent real-time prediction method for a high-speed large-range maneuvering target track. The method comprises the following steps of firstly, proposing a learning sample establishment method; constructing a target motion law learning and training mechanism based on an improved BP neural network; and finally, through a single-step prediction and rolling prediction method, realizing the intelligent, rapid and accurate prediction of the high-speed large-range maneuvering trajectory of the aerospace moving target. According to the invention, only the history of theaerospace moving target and the position data at the current moment need to be known, the motion model of the target is not needed, meanwhile, by designing a momentum factor and adopting a variable step size iterative strategy, the convergence speed of the traditional BP neural network is increased, and oscillation during the convergence process is reduced, and the precision of trajectory prediction is greatly improved. The method can be directly applied to the trajectory prediction problems of various high-speed and high-maneuverability targets, has the higher applicability, and provides thetheoretical basis and the technical reserves for the subsequent tasks, such as monitoring, tracking and intercepting the hypersonic aircrafts, such as X-37B, etc., and the like.

Description

technical field [0001] The invention relates to an intelligent real-time prediction method for a trajectory of a high-speed and large-scale maneuvering target, belonging to the field of spacecraft control. Background technique [0002] The trajectory prediction of high-speed and large-scale moving targets is an important guarantee for realizing the interception, tracking and continuous observation of space and space moving targets. With the development of aerospace technology, the movement speed and acceleration maneuverability of space vehicles have gradually increased, which has brought great challenges to the prediction of moving targets. On the one hand, the movement forms of the target are complex and unknown, and the prior information is insufficient, so it is difficult to predict in advance. It is necessary to propose an intelligent algorithm with strong learning ability to predict the movement behavior of the target; Resources such as storage are severely limited, a...

AI Technical Summary

Problems solved by technology

However, this method has great limitations. If the target trajectory does not satisfy the form of a time polynomial (for example, it moves around at a constant speed in a plane), the fitting and prediction errors will be large

[0004] In view of this, in order to provide reliable and complete prior information for the interception and tracking of aerospace targets (mainly including: aircraft, missiles, hypersonic vehicles, etc.), and to make up for the shortcomings of existing theoretical methods, the patent of the present invention addresses the lack of effective The status quo of fast and accurate prediction methods for high-speed and large-scale maneuvering target trajectories, and an intelligent real-time trajectory prediction method is proposed

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