智能电磁空间构建与应用
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作者单位:

航天工程大学 航天信息学院,北京 100191

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方胜良(1968-),男,博士,教授,博士生导师,主要研究方向为人工智能,电磁态势可视化.email:eeifslyl@163.com.
胡豪杰(1992-),男,在读硕士研究生,主要研究方向为电磁态势可视化.

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Construction and application of smart electromagnetic space
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Affiliation:

Academy of Space Information,Space Engineering University,Beijing 100191,China

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    摘要:

    在梳理电磁物理空间认知概念模型基础上,针对电磁空间物理域和信息域不能有效融合以及电磁信息应用智能化不足两大问题,提出了智能电磁空间的概念。智能电磁空间必须具有表征、理解、预测和决策4种能力,其特征是以模型为核心,以软件为载体,高度依赖数据驱动,达到对物理世界的精准映射,为作战指挥和部队行动提供智能决策服务。从电磁空间信息组织机理着手,进一步解决多源异构物理—信息数据融合问题的研究思路,构建了智能电磁空间的技术架构,提出了结合GeoSOT的高维电磁网格数据(GeoSOT-ND)模型高维张量建模与计算、多域电磁空间感知与高效存储、全维电磁态势重构与智能推演、基于网格数据驱动的应用方法等亟待突破的关键技术及实现思路。

    Abstract:

    In the electromagnetic space,the physical domain and information domain cannot be effectively integrated and the application of electromagnetic information lacks intelligence. A concept of intelligent electromagnetic space is put forward. The intelligent electromagnetic space should bear the ability of representation, understanding, predicting and decision making. Taking the model as the core, taking the software as the carrier, with highly data-driven, it can achieve accurate mapping of the physical world and provide intelligent decision-making services for the combat command and troop operations. According to the organization mechanism of electromagnetic space information, the problem of multi-source heterogeneous physics—information data fusion is further solved, and the technical framework is constructed. Some key technologies and implementation ideas are proposed,including Geographic Coordinate Subdividing Grid with One Dimension Integral Coding on 2n-Tree-N Dimensions(GEOSOT-ND) high-dimensional tensor modeling and computation, multi-domain electromagnetic space sensing and efficient storage, full-dimensional electromagnetic situation reconstruction and intelligent deduction, and grid data-driven application methods.

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方胜良,胡豪杰.智能电磁空间构建与应用[J].太赫兹科学与电子信息学报,2023,21(6):713~724

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  • 收稿日期:2022-09-21
  • 最后修改日期:2022-11-22
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  • 在线发布日期: 2023-07-04
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