AEROSPACE SHANGHAI, Volume. 42, Issue 4, 158(2025)

DBN-TOPSIS-based Multi-space Non-cooperative Target Threat Assessment Method

Zhenqi YANG, Chang HE, Zhihang JING, and Jianjun LUO
Author Affiliations
  • School of Aeronautics,Northwestern Polytechnical University,Xi’an710072,,China
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    Figures & Tables(18)
    Process and framework of threat assessment for multi-space non-cooperative targets
    Typical relative orbital motion states
    Diagram of an interference mission
    Diagram of a capture mission
    Diagram of the DBN model
    Nodal inference relations of the DBN model
    Target threat assessment inputs for the flying-by observation
    Results of the target threat assessment for the fly-by observation
    Trajectory and threat assessment results of the skimming jamming and jumping stalking targets
    Variations of the ranking for the target threat levels with time
    Effects of the mission intent recognition sessions on the target threat assessment results
    Comparison of the sorting algorithms
    • Table 1. Nodes and their state sets of the DBN

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      Table 1. Nodes and their state sets of the DBN

      节点名称节点状态
      威胁程度(TH)高(H)、中(M)、低(L)
      任务意图(MI)观测(O)、干扰(G)、围捕(W)
      环境条件(EC)优(E)、良(G)、差(P)
      目标机动能力(RS)强(S)、中(M)、弱(W)
      地影约束(SC)在(Y)、不在(N)
      光照条件(LC)优(E)、良(G)、差(P)
      干扰噪声(IN)强(S)、弱(P)
      相对距离(RD)远(L)、中(M)、近(S)、快(F)、中(M)、慢(S)
      相对速度(RLS)相对速度(RLS)
      光照强度(LI)过曝(O)、正常(N)、过暗(D)
      太阳光照角(LA)大(B)、中(M)、小(S)
    • Table 2. Input form of the DBN at a certain moment

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      Table 2. Input form of the DBN at a certain moment

      时刻MIINSCLALIRDRLS
      tiOPYBNLM
    • Table 3. CPT of each node of the threat level transfer matrix

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      Table 3. CPT of each node of the threat level transfer matrix

      XtP(Xt+1|Xt)
      HML
      H0.90.10
      M0.10.90
      L00.10.9
      THP(MI|TH)P(EC|TH)P(RS|TH)
      OGWEGPSMW
      H0.200.300.500.600.300.100.550.400.05
      M0.300.300.400.280.440.280.400.400.20
      L0.500.400.100.100.300.600.050.250.70
      ECP(SC|EC)P(LC|EC)P(IN|EC)
      NYEGPSP
      E0.870.130.650.300.050.750.25
      G0.710.290.350.350.300.250.75
      P0.150.850.050.350.600.250.75
      LCP(LI|LC)P(LA|LC)
      ONDBMS
      E0.050.900.050.100.150.75
      G0.320.360.320.100.350.55
      P0.5000.500.750.150.10
      RSP(RD|RS)P(RLS|RS)
      LMSFMS
      S0.100.300.600.800.100.10
      M0.200.400.400.100.700.20
      W0.650.3500.100.200.70
    • Table 4. Pseudo-code of the TOPSIS method

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      Table 4. Pseudo-code of the TOPSIS method

      nput 原始数据集
      Process
      1.确定指标体系,对属性向量归一化,构造评估矩阵Z

      2.for Z的每一列Zi do

      Z的第j维度权重系数wj

      正理想解Z+的第j维度Zj元素最大值

      负理想解Z-的第j维度Zj元素最小值

          end for

      3.for ziZ do

      zi与正理想解的接近程度di+

      zi与负理想解的接近程度di-

          end for

      4.各评价对象zi与最优方案的贴近程度Ci
      5.根据大小排序
      Output 各样本TOPSIS排序结果
    • Table 5. Results of the DBN threat assessment at moment <i>T</i>

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      Table 5. Results of the DBN threat assessment at moment <i>T</i>

      目标
      目标1p1Hp1Mp1L
      目标2p2Hp2Mp2L
      目标npnHpnMpnL
    • Table 6. Initial orbital elements of the spacecraft

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      Table 6. Initial orbital elements of the spacecraft

      a/kmei/(°)Ω/(°)ω/(°)f/(°)
      42 123.0001.69×10-40.019 50090.0
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    Zhenqi YANG, Chang HE, Zhihang JING, Jianjun LUO. DBN-TOPSIS-based Multi-space Non-cooperative Target Threat Assessment Method[J]. AEROSPACE SHANGHAI, 2025, 42(4): 158

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    Paper Information

    Category: Speciality Discussion

    Received: Sep. 25, 2024

    Accepted: --

    Published Online: Sep. 29, 2025

    The Author Email:

    DOI:10.19328/j.cnki.2096-8655.2025.04.017

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