知识辅助的空中目标综合识别

崔艺涵; 梁彦; 宋欠欠; 张会霞; 王帆

doi:10.12263/DZXB.20230440

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知识辅助的空中目标综合识别

学术论文 | 更新时间：2025-12-08

- 知识辅助的空中目标综合识别
- Knowledge Assisted Integrated Identification of Aerial Targets
- 电子学报 2024年52卷第9期页码：2961-2970
- 作者机构：
  
  1.西北工业大学自动化学院，陕西西安 710129
  2.中电二十七研究所光电系统部，河南郑州 450047
- 作者简介：
  
  [ "崔艺涵女，1997年出生，安徽铜陵人.西北工业大学自动化学院博士研究生.主要研究方向为多源信息融合与目标综合识别.E-mail: cuiyihan@mail.nwpu.edu.cn" ]
  [ "梁彦男，1971年出生，河南新乡人，2001年毕业于西北工业大学自动控制系，获工学博士学位.西北工业大学自动化学院教授、博士生导师，主要研究方向为复杂动态系统建模与估计、大数据分析与机器学习、多源信息融合与智能感知. E-mail: liangyan@nwpu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(61873205)
- DOI：10.12263/DZXB.20230440
  中图分类号： V19;TP3
- 收稿：2023-05-17，
  
  修回：2024-01-03，
  
  纸质出版：2024-09-25
- 稿件说明：
移动端阅览
崔艺涵, 梁彦, 宋欠欠, 等. 知识辅助的空中目标综合识别[J]. 电子学报, 2024, 52(09): 2961-2970.

CUI Yi-han, LIANG Yan, SONG Qian-qian, et al. Knowledge Assisted Integrated Identification of Aerial Targets[J]. Acta Electronica Sinica, 2024, 52(09): 2961-2970.
崔艺涵, 梁彦, 宋欠欠, 等. 知识辅助的空中目标综合识别[J]. 电子学报, 2024, 52(09): 2961-2970. DOI：10.12263/DZXB.20230440

CUI Yi-han, LIANG Yan, SONG Qian-qian, et al. Knowledge Assisted Integrated Identification of Aerial Targets[J]. Acta Electronica Sinica, 2024, 52(09): 2961-2970. DOI：10.12263/DZXB.20230440

摘要

现代战场环境日益复杂，随着空中机载装备技术的升级，海量多源异构传感器数据不可避免地出现信息不一致、不完备问题.传统面向机载多源传感器量测数据的融合处理方法忽略传感特征间的相关性，单依赖物理传感器的数据驱动形成封闭识别系统.考虑到专家认知、领域参数、属性规则等知识能以专家经验、规则约束等辅助认知形式在目标综合识别的模型构建、推理识别等环节起到指导作用，本文提出一种知识辅助的空中目标类型综合识别方法，利用上述知识，首先构建典型空中目标特征军事作战知识图谱，提取关键特征参数、识别规则阈值等建立目标辨识框架关联关系模型；然后在特征级识别、决策级识别层分别构建数据基本信任指派与证据冲突可信度；此外，针对证据出现高冲突情况制定时域融合规则，引入历史数据重构调整数据时序融合权重因子；最后在静态推理与动态融合下分层实现异构多源传感器的置信类型综合识别.本文在典型空中目标类型识别任务下识别准确率优于现有算法，验证了所提方法的有效性.

Abstract

With the increasing complexity of modern battlefield environment and the upgrading of aviation equipment technology

massive multi-source heterogeneous sensor data inevitably appear inconsistent and incomplete problems. Traditional multi-sensor fusion method ignores sensor features correlation

and forms a closed data-driven recognition system of sensors. Whereas expert cognition

domain experience

attribute rules and other knowledge can instruct model construction and inference recognition of comprehensive target recognition in the form of expert experience

rule constraints and so on

this paper presents a method of knowledge assisted integrated identification of aerial targets. First of all

a military combat knowledge map of typical aerial target features is constructed

and key feature parameters are extracted to establish a target identification framework model. Then data basic trust assignment and evidence conflict credibility are constructed at recognition and decision recognition level respectively. Besides

time-domain fusion rules for high-conflict evidence is formulated to adjust timing fusion weights by using historical data. Finally

type recognition of multi-sensor is hierarchically realized through static reasoning and dynamic fusion. This study recognition accuracy is better than the existing algorithms in typical aerial target recognition tasks

demonstrating the effectiveness of the proposed algorithm.

关键词

Keywords

references

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