Space target track interruption correlation method based on trace forecast

Abstract

The invention discloses a space target track interruption correlation method based on trace forecast, and belongs to the technical field of track correlation. A space target has the characteristics ofhigh density, low target relative movement speed, poor divisibility and the like, the problems that in a tracking process, targets are easily lost, and the same target is repeatedly subjected to track initiation and is given with a plurality of batch numbers are easily caused, in order to effectively improve continuity and stability of tracking on the space target and improve target tracking precision and effective tracking batch numbers, the speed and position of the space target are separately subjected to first-order least square curve fitting and second-order least square curve fitting toimprove the precision of a trace forecast initial value point, the position of the trace forecast initial value point is obtained by variable-order curve fitting, the target acceleration of the timeis estimated according to a spatial objective dynamic equation, the movement locus of the space target is forecasted through the estimated acceleration by a Euler extrapolation forecast method, and the problem of track interruption correlation is solved by the forecast result of the trace of the space target.

Description

technical field [0001] The invention belongs to the technical field of target track correlation, and is suitable for a tracking system with relatively high track fragmentation in a complex and dense target environment. Background technique [0002] Whether it is the launch of new satellites, collision avoidance, or space debris management, early warning and interception of important space targets, etc., high-precision target tracking and trajectory forecasting technologies are required as the basis. The relative movement speed of each target in a complex space target group is low. As a result, the radar cannot effectively distinguish each target in the target group for a relatively long period of time, and for some resolvable targets in the group, continuous and effective stable measurements cannot be obtained, which in turn leads to many short and small tracks in the tracking results. Problems such as tracking saturation and low number of effective tracking targets are pron...

AI Technical Summary

Problems solved by technology

It aims to solve the problems in the process of space target tracking, such as time and time loss of targets, the same target being tracked multiple times and given multiple batch numbers, and the number of effectively tracked target batches is limited, etc.

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