基于行为特征的雷达辐射源威胁评估

王俊迪; 王星; 田元荣; 陈游

doi:10.13700/j.bh.1001-5965.2022.0848

基于行为特征的雷达辐射源威胁评估

doi: 10.13700/j.bh.1001-5965.2022.0848

王俊迪¹,
王星¹,
田元荣^2, ,,
陈游¹

1.
空军工程大学航空工程学院，西安 710038
2.
国防科技大学电子对抗学院，合肥 230037

基金项目: 国家自然科学基金(62001489)；陕西省自然科学基金(2021JM-225)

详细信息

通讯作者:
E-mail：tianyuanrong20@nudt.edu.cn

中图分类号: TN974
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- 被引次数: 0
出版历程
- 收稿日期: 2022-10-10
- 录用日期: 2022-12-25
- 网络出版日期: 2023-01-03
- 整期出版日期: 2024-10-31

Threat assessment of radar radiation sources based on behavioral characteristics

1.
Aviation Engineering School，Air Force Engineering University，Xi’an 710038，China
2.
School of Electronic Countermeasure，National University of Defense Technology，Hefei 230037，China

Funds: National Natural Science Foundation of China (62001489); China Postdoctoral Science Foundation (2021JM-225)

More Information

Corresponding author: E-mail：tianyuanrong20@nudt.edu.cn

摘要

摘要:
针对当前雷达辐射源威胁评估对精确侦察数据依赖性较大的问题，提出一种基于行为特征的雷达辐射源威胁评估算法。从辐射源目标行为特征和数据融合理论出发，建立基于行为特征的辐射源威胁评估体系，并采用模糊理论和Vague数据集对各子行为进行表示；考虑到指标间的耦合性和空战的高动态性，利用改进的区间灰色关联度修正初始权重，建立以距离为自变量的态势状态函数，为各子行为动态赋权；采用改进的雷达图法计算威胁目标的威胁程度。仿真结果表明：所提算法具有较好的准确性和适应性。
- 数据融合 /
- 威胁评估 /
- 行为特征 /
- 动态权重 /
- 区间灰色关联度 /
- 雷达图法
Abstract:
This paper studies the problem that the current radar radiation source threat assessment algorithm relies heavily on accurate reconnaissance data. Firstly, a radiation source threat assessment system based on behavior characteristics is constructed, starting from the radiation source target behavior characteristics and data fusion theory. Also, fuzzy theory and Vague datasets are employed to represent each sub-behavior. A situational state function with distance as an independent variable is constructed by using the modified starting weight of interval gray correlation degree to solve the coupling between indicators and the high dynamics of air warfare. Finally, an improved radar map method is adopted to calculate the threat level of the threatening target. The simulation results show that the algorithm in this paper has good accuracy and adaptability.
- data fusion /
- threat assessment /
- behavioral characteristics /
- dynamic weights /
- interval gray correlation degree /
- radar map method

HTML全文

图 1 基于行为特征的威胁评估体系

Figure 1. Threat assessment system based on behavioral characteristics

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图 2 $ L(l) $和$ S(s) $隶属度曲线

Figure 2. The membership curves of $ L(l) $ and $ S(s) $

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图 3 改善因子与积累脉冲数的关系曲线

Figure 3. Relationship between improvement factor and accumulated pulse number

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图 4 $ {N_{{\mathrm{b}}i}}(i = 1,2,3) $隶属度曲线

Figure 4. The membership curve of $ {N_{{\mathrm{b}}i}}(i = 1,2,3) $

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图 5 $ {N_{{\mathrm{f}}i}}(i = 1,2,3) $隶属度曲线

Figure 5. The membership curve of $ {N_{{\mathrm{f}}i}}(i = 1,2,3) $

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图 6 $ {N_{{\mathrm{DR}}i}}(i = 1,2) $隶属度曲线

Figure 6. The membership curve of $ {N_{{\mathrm{DR}}i}}(i = 1,2) $

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图 7 $ {N_{{\mathrm{J}}i}}(i = 1,2,3) $隶属度曲线

Figure 7. The membership curve of $ {N_{{\mathrm{J}}i}}(i = 1,2,3) $

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图 8 多扇形雷达

Figure 8. Multi-sector radar chart

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图 9 空空作战场景示意图

Figure 9. Schematic diagram of air-to-air combat scenario

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图 10 属性指标间的关联程度

Figure 10. The degree of correlation between attribute indicators

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图 11 状态函数的变化趋势

Figure 11. Change trend of state function

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图 12 子行为权重的变化趋势

Figure 12. Change trend of sub-behavior weights

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图 13 350 km处各威胁目标雷达图

Figure 13. Radar map of each threat target at 350 km

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图 14 50 km处各威胁目标雷达图

Figure 14. Radar map of each threat target at 50 km

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图 15 目标威胁度柱状图

Figure 15. Histogram of target threat degree

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图 16 4种威胁评估算法对比

Figure 16. Comparison of four threat assessment algorithms

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表 1 运动行为模糊评价语言与Vague转换

Table 1. Fuzzy evaluation language of motor behavior and Vague transition

威胁等级	Vague数据集数值
高速远离	[0,0.305]
中低速远离	[0.31,0.615]
盘旋	[0.28,0.73]
中低速接近	[0.39,0.69]
高速接近	[0.7,1]

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表 2 波束行为模糊评价语言与Vague转换

Table 2. Fuzzy evaluation language of beam behavior and Vague transition

威胁等级	$ {\mathrm{Vague}} $数据集数值
短暂驻留	[0,0.28]
循环驻留	[0.22,0.78]
长时间驻留	[0.72,1]

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表 3 参数行为模糊评价语言与Vague转换

Table 3. Fuzzy evaluation language of parameter behavior and Vague transition

威胁等级	${\mathrm{ Vague}} $数据集数值
低载频低占空比	[0,0.11]
低载频高占空比	[0,0.22]
中载频低占空比	[0,0.36]
中载频高占空比	[0.14,0.72]
高载频低占空比	[0,0.5]
高载频高占空比	[0.39,1]

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表 4 蓝方情报信息

Table 4. Blue intelligence information

编号	飞机型号	载弹类型	空空弹最大射程/km
B1	F-22战机	空对空红外制导导弹、空对空雷达制导导弹	150
B2	F-15战机	空对空红外制导导弹、空对空雷达制导导弹	100
B3	F-15战机	空对空红外制导导弹、空对空雷达制导导弹	100
B4	F-22战机	空对空红外制导导弹、空对空雷达制导导弹	150
B5	F-22战机	空对地反辐射导弹、空对空雷达制导导弹	150
B6	预警机

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表 5 蓝方行为指标数据

Table 5. Blue square behavior indicator data

编号	运动行为	载频$ {\text{/MHz}} $	占空比$ {\text{/}}\% $	$ {{{T}}_{\mathrm{s}}}/{\text{μs}} $	$ {{{T}}_{\mathrm{e}}}/{\text{μs}} $	$ N $
B1	中低速接近	9800	40	1	3071	512
B2	中低速接近	9200	20	7910.00	9446.00	1024
B3	高速接近	9100	20	4510	6097.2	512
B4	高速接近	9500	40	3	3071	1024
B5	盘旋	9000	20	1340.2	2799.4	512
B6	盘旋	1500	2	4670	11070.00	64

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表 6 蓝方行为模糊评价语言与Vague转换

Table 6. Fuzzy evaluation language of blue square behavior and Vague transition

编号	运动行为	波束行为	参数行为	情报行为
B1	$ [0.39,0.69] $	$ [{\text{0}}{\text{.22}},{\text{0}}{\text{.78}}] $	$ [{\text{0}}{\text{.39}},{\text{1}}] $	$ [{\text{0}}{\text{.82}},{\text{1}}] $
B2	$ [0.39,0.69] $	$ [{\text{0}}{\text{.72}},{\text{1}}] $	$ [{\text{0}}{\text{.39}},{\text{1}}] $	$ [{\text{0}}{\text{.56}},{\text{0}}{\text{.76}}] $
B3	$ [0.7,1] $	$ [{\text{0}}{\text{.22}},{\text{0}}{\text{.78}}] $	$ [{\text{0}},{\text{0}}{\text{.5}}] $	$ [{\text{0}}{\text{.56}},{\text{0}}{\text{.76}}] $
B4	$ [0.7,1] $	$ [{\text{0}}{\text{.72}},{\text{1}}] $	$ [{\text{0}}{\text{.39}},{\text{1}}] $	$ [{\text{0}}{\text{.82}},{\text{1}}] $
B5	$ [0.28,0.73] $	$ [{\text{0}},{\text{0}}{\text{.28}}] $	$ [{\text{0}},{\text{0}}{\text{.5}}] $	$ [{\text{0}}{\text{.72}},{\text{0}}{\text{.86}}] $
B6	$ [0.28,0.73] $	$ [{\text{0}},{\text{0}}{\text{.28}}] $	$ [{\text{0}},{\text{0}}{\text{.36}}] $	$ [{\text{0}},{\text{0}}{\text{.23}}] $

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表 7 行为评估初始权重

Table 7. Initial weights of behavior evaluation

行为	权重
运动行为	0.251 3
波束行为	0.260 6
参数行为	0.312 3
情报行为	0.175 8

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表 8 各威胁目标威胁度

Table 8. Threat level of each threat target

目标距离/km	威胁度
目标距离/km	B1	B2	B3	B4	B5	B6
350	1.14	1.03	1.31	1.46	0.99	0.821
50	1.119	1.272	1.014	1.44	0.781	0.658

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