A high-precision space target fall prediction method based on cataloging root number sequence

Abstract

The invention discloses a high-precision space target fall prediction method based on a cataloging root number sequence. The invention specifically includes the following steps: step 1, analysing the cataloging root number sequence as an actual measured orbit value, step 2, establishing an orbit perturbation model, step 1. 3. Calculate the ballistic coefficient, and step 4. Predict the fall time and the fall position. The invention relates to the technical field of aerospace measurement and control. This is a high-precision space target fall prediction method based on cataloging root number sequence. The orbit extrapolation can be realized by using the semi-numerical method, and the integral step size can be taken as an integer multiple of the orbit period, which is tens of minutes or even tens of hours. Compared with the numerical method, the calculation efficiency is higher. Orbit integration can ensure the prediction accuracy and improve the calculation efficiency at the same time. It can meet the high-precision and high-efficiency calculation requirements in the case of a large number of space targets, so as to achieve fast and accurate fall prediction.

Description

technical field [0001] The invention relates to the technical field of aerospace measurement and control, in particular to a high-precision space target fall prediction method based on a cataloging root number sequence. Background technique [0002] Since the first human space activity in 1957, more than 30,000 tons of space junk have been returned to the earth. Massive space targets will not be completely burned in the process of falling, and 10-40% of the debris still returns to the earth's surface, which poses a great threat to life groups, building facilities, and ecological environment on the surface. Intensive monitoring of space targets and accurate prediction of the time and location of their fall is of great significance for grasping changes in space situation and avoiding damage in time. The best way to predict and calculate the fall of space targets is to obtain a large amount of measurement data. orbit and calculate the ballistic coefficient, but only a few coun...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a high-precision space target fall prediction method based on the catalog root number sequence, which solves the problems of low prediction accuracy of the existing analysis method and low calculation efficiency of the numerical method

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