Missile-target Dynamic Allocation Method Based on Neural Network Residual Time Estimation

参数	取值
导弹 $x$ 轴初始位置x_m/m	0
导弹 $y$ 轴初始位置y_m/m	7 000
导弹 $z$ 轴初始位置z_m/m	0
导弹初始速度v_m/(m·s^-1)	(700，1 500)
导弹初始弹道倾角γ_m/(°)	0
导弹初始弹道偏角ψ_m/(°)	(-30，30)
目标 $x$ 轴初始位置x_t/m	(20 000，80 000)
目标 $y$ 轴初始位置y_t/m	(4 000，6 000)
目标 $z$ 轴初始位置z_t/m	(-3 000，3 000)
目标初始速度 v_t/(m·s^-1)	(200，400)
目标初始轨迹倾角γ_t/(°)	0
目标初始轨迹偏角ψ_t/(°)	(150，210)

Table 2. Tab.2Information of the missile initial state
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Table 2. Tab.2Information of the missile initial state
导弹 $x$ /m $y$ /m $z$ /m $v$ /( $m \cdot s^{- 1}$ ) $γ$ /(°) $ψ$ /(°)
M1 0 7 000 -3 000 1 500 0 0
M2 0 7 000 -2 000 1 500 0 0
M3 0 7 000 -1 000 1 500 0 0
M4 0 7 000 1 000 1 500 0 0
M5 0 7 000 2 000 1 500 0 0
M6 0 7 000 3 000 1 500 0 0

Table 3. Tab.3Information of the target initial state
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Table 3. Tab.3Information of the target initial state
目标 $x$ /m $y$ /m $z$ /m $v$ /( $m \cdot s^{- 1}$ ) $γ$ /(°) $ψ$ /(°)
T1 55 000 7 000 -350 284 0 167
T2 51 000 6 000 -200 233 0 178
T3 49 000 4 000 -150 205 0 159
T4 57 000 4 500 300 298 0 -147
T5 52 000 6 500 800 246 0 -152
T6 55 000 4 500 500 265 0 -162

Table 4. Tab.4Allocation scheme
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Table 4. Tab.4Allocation scheme
导弹 M1 M2 M3 M4 M5 M6
分配1 2 3 1 6 5 4
分配2 1 2 3 5 6 4

Table 5. Tab.5Value matrix of Allocation 1

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Table 5. Tab.5Value matrix of Allocation 1

	M1	M2	M3	M4	M5	M6
T1	0.796	0.470	0.400	0.061	0.279	0.253
T2	0.762	0.470	0.402	0.094	0.308	0.267
T3	0.734	0.466	0.403	0.123	0.334	0.280
T4	0.678	0.451	0.386	0.156	0.370	0.295
T5	0.648	0.441	0.368	0.156	0.368	0.294
T6	0.616	0.430	0.348	0.155	0.364	0.293

Table 6. Tab.6Value matrix of Allocation 2

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Table 6. Tab.6Value matrix of Allocation 2

	M1	M2	M3	M4	M5	M6
T1	0.589	0.525	0.457	0.157	0.340	0.325
T2	0.854	0.731	0.477	0.075	0.365	0.329
T3	0.547	0.494	0.456	0.068	0.249	0.290
T4	0.604	0.551	0.356	0.284	0.558	0.374
T5	0.402	0.437	0.277	0.259	0.431	0.344
T6	0.456	0.464	0.179	0.275	0.536	0.360

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Shi SU, Ying NAN, Mingyong HE. Missile-target Dynamic Allocation Method Based on Neural Network Residual Time Estimation[J]. AEROSPACE SHANGHAI, 2024, 41(5): 145

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