High-precision space target fall forecasting method based on catalogue root sequence

Abstract

The invention discloses a high-precision space target fall forecasting method based on a catalogue root sequence. The high-precision space target fall forecasting method specifically comprises the following steps: step 1, analyzing a catalogue element series as an actually measured orbit value; step 2, establishing an orbit perturbation model; step 3, calculating a ballistic coefficient; and step4, forecasting falling time and a falling point position. The invention relates to the technical field of spaceflight measurement and control. The high-precision space target fall forecasting method based on the catalogue root sequence can realize track extrapolation by using a half-value method, wherein the integral step length can be an integral multiple of the orbit period; the time is dozens of minutes or even dozens of hours; compared with a numerical method, the calculation efficiency is higher, and orbit integration is carried out by using the half-value method, so that the calculationefficiency is improved while the prediction precision is well guaranteed; and the calculation requirements of high precision and high efficiency under the condition of a large number of space targetscan be met at the same time, so that meteoric drop prediction can be carried out quickly and accurately.

Description

technical field [0001] The invention relates to the technical field of aerospace measurement and control, in particular to a method for predicting the fall of a space target with high precision based on a catalog root number sequence. Background technique [0002] Since the first space activity by humans in 1957, more than 30,000 tons of space junk have returned to Earth. With the increasing frequency of human space activities and the continuous accumulation of space objects’ flight time in orbit, the number of fallen space objects is also increasing. Large-mass space objects will not be completely burned during the fall process, and 10-40% of the debris will still return to the earth's surface, which poses a great threat to the life groups, building facilities, and ecological environment on the surface. Intensive monitoring of space targets and accurate prediction of the time and point of fall are of great significance for mastering changes in the space situation and avoidi...

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...

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