Research on Error Allocation Methods for Kill Webs

FU Xiaowei; WU Junzhan; JIANG Shuo

doi:10.12382/bgxb.2025.0304

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Research on Error Allocation Methods for Kill Webs

更新时间：2026-05-06

- Research on Error Allocation Methods for Kill Webs
- Acta Armamentarii Vol. 47, Issue 4, Pages: 250304(2026)
- 作者机构：
  
  西北工业大学电子信息学院，陕西西安 710129
- 作者简介：
- 基金信息：
- DOI：10.12382/bgxb.2025.0304
  CLC： TP18
- Received：22 April 2025，
  
  Online First：25 February 2026，
  
  Published：2026-04
- 稿件说明：
移动端阅览
FU Xiaowei, WU Junzhan, JIANG Shuo. Research on Error Allocation Methods for Kill Webs[J]. Acta Armamentarii, 2026, 47(4): 250304.
DOI：

FU Xiaowei, WU Junzhan, JIANG Shuo. Research on Error Allocation Methods for Kill Webs[J]. Acta Armamentarii, 2026, 47(4): 250304. DOI： 10.12382/bgxb.2025.0304.

摘要

随着信息技术的进步、空战战术的不断发展，杀伤网和空空导弹越发受到重视。以杀伤网中的中远距空空导弹为研究对象，以空空导弹截获目标概率来描述杀伤网命中精度，针对杀伤网中误差指标的分配进行研究具有重要意义。针对杀伤网指标分配问题，提出基于量子计算的非支配排序多种群遗传算法，将杀伤网误差指标分配建模为多目标优化问题，对杀伤网中敏感性较高的误差源进行误差指标分配，给出多个满足约束条件的误差逆向量化分配方案，并与带精英策略的非支配排序遗传算法、传统的试凑法和单目标优化法所得误差指标分配方案进行对比，验证了利用该算法从多目标优化角度能够有效求解误差分配问题。

Abstract

With the advancement of information technology and the continuous development of aerial combat tactics

the kill webs and air-to-air missiles have garnered increasing attention. The allocation of error metrics within kill webs is studied by taking the medium- and long-range air-to-air missiles within kill webs as the research object and the target acquisition probability of air-to-air missiles as a metric for hit accuracy. For the kill web metric allocation

a multi-population genetic algorithm based on quantum computing for non-dominated sorting is proposed. The error metric allocation in kill webs is modeled as a multi-objective optimization problem

and the error metrics are allocated to the highly sensitive error sources within the kill web

which provides the error allocation schemes of reverse quantification that satisfy the constraints. The proposed algorithm is compared with NSGA-Ⅱ

traditional trial-and-error and single-objective optimization algorithms. The results confirm that the proposed algorithm can effectively solve the error allocation problems from the perspective of multi-objective optimization.

关键词

Keywords

references

张传良，丁浩淼.从杀伤链到杀伤网——全域作战视角下的杀伤链战略[J].军事文摘，2021（3）：7-12.

ZHANG C L, DING H M.From the kill chain to the kill web:the kill chain strategy from the perspective of all-domain operations [J]. Military Digest, 2021 (3): 7-12. (in Chinese)

阮开智，孙学安，仝云，等.未来智能杀伤网构想[J].空天防御，2024，7（3）：27-33.

RUAN K Z, SUN X A, TONG Y, et al. Future intelligent kill web concept [J]. Air & Space Defense, 2024, 7 (3): 27-33. (in Chinese)

吕红庆，董灿，王子安，等.基于全局敏感性的超网络杀伤网精度映射方法[J].指挥与控制学报，2024，10（4）：420-431.

LÜ H Q, DONG C, WANG Z A, et al. Precision mapping method of supernetwork kill Web based on global sensitivity [J]. Journal of Command and Control, 2024, 10 (4): 420-431. (in Chinese)

贺筱媛，王赞程，郭圣明，等.联盟反导体系杀伤网建模和仿真分析[J].系统仿真技术，2023，19（1）：55-63.

HE X Y, WANG Z C, GUO S M, et al. Modeling and simulation analysis of alliance anti-missile system kill Web [J]. Journal of System Simulation Technology, 2023, 19 (1): 55-63. (in Chinese)

秦长江，吴克宇，成清，等.基于杀伤网贡献率的动态体系节点重要度评估[J].系统工程与电子技术，2023，45（6）：1732-1742.

QIN C J, WU K Y, CHENG Q, et al. Node importance evaluation in dynamic system based on kill-Web contribution rate [J]. Systems Engineering and Electronics, 2023, 45 (6): 1732- 1742. (in Chinese)

夏博远，杨克巍，杨志伟，等.基于杀伤网评估的装备组合多目标优化[J].系统工程与电子技术，2021，43（2）：399-409.

XIA B Y, YANG K W, YANG Z W, et al. Multi-objective optimization of equipment portfolio based on kill-Web evaluation [J]. Systems Engineering and Electronics, 2021, 43 (2): 399-409. (in Chinese)

王凯生，黄炎焱.面向OODA链优化闭环的多层杀伤网作战规划技术[J].南京理工大学学报（自然科学版），2024，48（5）：642-649.

WANG K S, HUANG Y Y.Multi-layer kill net operation planning technology for OODA chain optimization closed loop [J]. Journal of Nanjing University of Science and Technology (Natural Science Edition), 2024, 48 (5): 642-649. (in Chinese)

万斯来，王国新，明振军，等.基于AGE-MOEA的杀伤链建模与优化方法[J].兵工学报，2024，45（8）：2617-2628.

WAN S L, WANG G X, MING Z J, et al. Modeling and optimization method of kill chains based on AGE-MOEA [J]. Acta Armamentarii, 2024, 45 (8): 2617-2628. (in Chinese)

徐奎照，范素英，吴文，等.误差分配方法的分析与应用[J].南方农机，2019，50（10）：211.

XU K Z, FAN S Y, WU W, et al. Analysis and application of error allocation method [J]. China Southern Agricultural Machinery, 2019, 50 (10): 211. (in Chinese)

徐挺，李斐，王霞.制导系统精度分析及误差分配方法[J].四川兵工学报，2014，35（3）：18-20.

XU T, LI F, WANG X.Accuracy analysis and error distribution of guidance system [J]. Journal of Sichuan Ordnance, 2014, 35 (3): 18-20. (in Chinese)

陈水忠，王凯.基于鱼群算法的机载光电平台误差分配方法[J].激光与红外，2017，47（5）：600-605.

CHEN S Z, WANG K.Error distribution method of airborne electro-optical platform based on artificial fish swarm algorithm [J]. Laser & Infrared, 2017, 47 (5): 600-605. (in Chinese)

孙春生，吴依伦.无人机载光电吊舱观瞄角误差分配方法研究[J].红外与激光工程，2023，52（11）：20230238.

SUN C S, WU Y L.Research on the error distribution method of unmanned airborne electro-optical pod viewing angle [J]. Infrared and Laser Engineering, 2023, 52 (11): 20230238. (in Chinese)

王凌.量子进化算法研究进展[J].控制与决策，2008，23（12）：1321-1326.

WANG L.Advances in quantum-inspired evolutionary algorithms [J]. Control and Decision, 2008, 23 (12): 1321-1326. (in Chinese)

李家辉，许锋.基于Kriging模型与MOGA算法的有限元模型修正[J].航空工程进展，2023，14（4）：68-75.

LI J H, XU F.Finite element model updating based on kriging model and MOGA [J]. Advances in Aeronautical Science and Engineering, 2023, 14 (4): 68-75. (in Chinese)

王军，蒋金阳，牛壮.基于改进SPEA2算法的多目标航线优化[J].舰船科学技术，2023，45（16）：125-128.

WANG J, JIANG J Y, NIU Z.Multi-objective ship route optimization based on improved SPEA2 algorithm [J]. Ship Science and Technology, 2023, 45 (16): 125-128. (in Chinese)

DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multiobjective genetic algorithm:NSGA-II [J]. IEEE Transactions on Evolutionary Computation, 2002, 6 (2): 182-197.

王凡通，王凌，高雁凤，等.基于改进NSGA-Ⅱ算法的多AGV多任务分配研究[J].现代电子技术，2024，47（9）：157-163.

WANG F T, WANG L, GAO Y F, et al. Research on multi-AGV multi-task allocation based on improved NSGA-II algorithm [J]. Modern Electronic Technology, 2024, 47 (9): 157-163. (in Chinese)

邱荣根.基于改进NSGA-Ⅱ算法的混合流水车间分批调度问题研究[J/OL].自动化技术与应用，1-7[2025-01-05].http:∥kns.cnki.net/kcms/detail/23.1474.TP.20241203.1407.018.html.

QIU R G.Research on batch scheduling problem of hybrid flow shop based on improved NSGA-II algorithm[J/OL].Automation Technology and Application, 1-7 [2025-01-05].http: ∥kns. cnki. net/kcms/detail/23.1474.TP.20241203.1407.018.html. (in Chinese)

HAN K H, KIM J H.Genetic quantum algorithm and its application to combinatorial optimization problem[C]∥Proceedings of the 2000 Congress on Evolutionary Computation. La Jolla, CA, US:IEEE, 2000, 2:1354-1360.DOI:10.1109/CEC.2000.870809.

AMAL R S, IVAN J S. A quantum genetic algorithm for optimization problems on the Bloch sphere [J]. Quantum Information Processing, 2022, 21 (2): 43.

樊会涛.复合制导空空导弹截获目标概率研究[J].航空学报，2010，31（6）：1225-1229.

FAN H T.Study on target acquisition probability of air-to-air missiles with combined guidance [J]. Acta Aeronautica et Astronautica Sinica, 2010, 31 (6): 1225-1229. (in Chinese)

刘海军，王丽娜.复合制导防空导弹中末制导交班问题研究[J].现代防御技术，2006，34（2）：29-33.

LIU H J, WANG L N.Study on handover problem of compound guidance missile weapom [J]. Modern Defence Technology, 2006, 34 (2): 29-33. (in Chinese)

李峰，王新龙，王起飞.空空导弹目标截获概率研究[J].电光与控制，2010，17（8）：15-20.

LI F, WANG X L, WANG Q F.Study on target acquisition probability of air-to-air missiles [J]. Electr Optics and Control, 2010, 17 (8): 15-20. (in Chinese)

李士勇，李盼池.量子计算与量子优化算法[M].哈尔滨：哈尔滨工业大学出版社，2009.

LI S Y, LI P C.Quantum computing and quantum optimization algorithms [M]. Harbin: Harbin Institute of Technology Press, 2009. (in Chinese)

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