基于贝叶斯网络的航天任务态势不确定性融合
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复杂电子系统仿真重点实验室基础研究基金(DXZT-JC-ZZ-2019-001)


Space Mission Situation Uncertainty Fusion Based on Bayesian Network
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    摘要:

    为提高航天指挥员战场决策能力,保证其决策时效性,对航天任务不确定性态势融合进行研究。分析航 天态势融合相关概念,根据其特点将航天态势融合环节分为低融合层的确定性态势融合和高融合层的不确定性态势 融合2 个模块;针对航天态势高融合层,提出一种基于贝叶斯网络的不确定性态势融合方法,研究态势融合机理和 流程,并以航天应急发射任务为例对该方法进行验证。结果表明,该研究可支持航天指挥员在空间战场中做出正确 的指挥决策。

    Abstract:

    In order to improve the battlefield decision-making ability of space commanders and ensure the timeliness of their decision-making, the uncertain situation fusion of space missions is studied. The concepts of space situation fusion are analyzed, and the space situation fusion is divided into 2 modules according to its characteristics: the deterministic situation fusion in the lower fusion layer and the uncertain situation fusion in the higher fusion layer. Aiming at the high fusion layer of space situation, an uncertain situation fusion method based on Bayesian network is proposed, and the mechanism and process of situation fusion are studied, and the method is verified by taking space emergency launch mission as an example. The results show that the research can support space commanders to make correct command decisions in the space battlefield.

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引用本文

彭亚飞.基于贝叶斯网络的航天任务态势不确定性融合[J].,2022,41(8).

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  • 收稿日期:2022-05-29
  • 最后修改日期:2022-06-28
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  • 在线发布日期: 2022-08-11
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