基于长短期记忆网络的航天器轨道异常判别方法

Zonghua Qu, Chunling Wei, Han Yan
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引用次数: 0

摘要

面对日益拥挤的轨道空间和日益增加的空间威胁,航天器的空间安全问题需要受到更多的关注。为了解决非合作航天器对我国航天器的接近干扰问题,利用卫星工具箱(Satellite Tool Kit, STK)软件给出了非合作航天器利用霍曼转移接近我国航天器的过程,并采用基于长短期记忆(LSTM)网络的方法对航天器异常轨道机动接近我国航天器的全过程进行了识别和判断。仿真结果表明,LSTM网络取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Spacecraft Orbit Anomaly Discrimination Based on Long Short-Term Memory Network
Facing the increasingly crowded orbital space and the gradually increasing space threats, more attention needs to be paid to spacecraft safety in space. In order to address the problem of non-cooperative spacecraft's approach interference to our spacecraft, the process of non-cooperative spacecraft's approach to our spacecraft by using Hohmann transfer is given by Satellite Tool Kit (STK) software, and the whole process of spacecraft's abnormal orbital maneuvering to approach our spacecraft is identified and judged by the method based on long short-term memory (LSTM) network. The simulation verifies that the LSTM network achieves good results.
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