An Improved Trajectory Prediction Method for Photoelectric Tracking of Space Debris Based on Ransac Algorithm

Abstract

The invention discloses an RANSAC algorithm improvement-based trajectory prediction method for photoelectric tracking of space debris, and relates to the field of real-time guiding and tracking of space debris. Aiming at the problems that targets are difficult to extract and even the targets are completely lost due to the influences of cloud covering or earth shadow when tracking measurement is carried out on the space debris by photoelectric tracking equipment, the RANSAC algorithm improvement-based trajectory prediction method for photoelectric tracking of space debris is disclosed through carrying out improvement on the basis of an random sample consensus (RANSAC) algorithm which is widely applied to the field of computer vision; and the method is used for processing history observation data of photoelectric observation equipment in real time, and utilizing predicted trajectories to continue tracking and searching by adoption of a theoretic guiding manner. After importing the method, the fault-tolerant ability for the observation data during trajectory prediction is improved, the sensitivity to models is reduced, and the correctness and robustness of prediction results are remarkably enhanced.

Description

technical field [0001] The invention relates to the field of space debris photoelectric tracking, in particular to a space debris photoelectric tracking method based on RANSAC algorithm improvement for real-time processing of observation data by photoelectric tracking equipment for trajectory prediction. Background technique [0002] The monitoring and measurement of space debris is an important task of the current photoelectric tracking and measurement equipment. However, when tracking and measuring space debris, due to the long distance of the target and the large equivalent magnitude, in order to enhance the detection capability of the equipment, the general detector The caliber design of the detector is relatively large, and in order to suppress stray light, the field of view of the detector is generally small - the angular magnitude. When the target is blocked by clouds, or the target enters the shadow or penumbra of the ground, it is difficult to extract the target, so...

AI Technical Summary

Problems solved by technology

When the target is blocked by clouds, or the target enters the shadow or penumbra of the ground, it is difficult to extract the target, so the closed-loop tracking method based on the amount of misses cannot be carried out smoothly.

In this case, if the theoretical orbit data is used for theoretical guidance, although the pointing to the target can be maintained in a short period of time, a large amount of high-precision observation data in the previous tracking process will be lost.

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