考虑复杂环境干扰的拦截弹攻击区在线生成方法

王晓芳; 赵杨燕

doi:10.12382/bgxb.2024.1096

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考虑复杂环境干扰的拦截弹攻击区在线生成方法

更新时间：2026-04-24

- 考虑复杂环境干扰的拦截弹攻击区在线生成方法
- Online Generation Method for Interceptor Missile Launch Envelope Considering Complex Environmental Disturbances
- 兵工学报 2026年47卷第2期页码：241096
- 作者机构：
  
  北京理工大学宇航学院，北京 100081
- 作者简介：
  
  通信作者邮箱：wangxf@bit.edu.cn
- 基金信息：
  
  国家自然科学基金项目(11502019)
- DOI：10.12382/bgxb.2024.1096
  中图分类号： V249.31
- 收稿：2024-12-05，
  
  网络首发：2025-12-25，
  
  纸质出版：2026-02-28
- 稿件说明：
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王晓芳, 赵杨燕. 考虑复杂环境干扰的拦截弹攻击区在线生成方法[J]. 兵工学报, 2026,47(2):241096.

WANG Xiaofang, ZHAO Yangyan. Online Generation Method for Interceptor Missile Launch Envelope Considering Complex Environmental Disturbances[J]. Acta Armamentarii, 2026, 47(2): 241096.
王晓芳, 赵杨燕. 考虑复杂环境干扰的拦截弹攻击区在线生成方法[J]. 兵工学报, 2026,47(2):241096. DOI： 10.12382/bgxb.2024.1096.

WANG Xiaofang, ZHAO Yangyan. Online Generation Method for Interceptor Missile Launch Envelope Considering Complex Environmental Disturbances[J]. Acta Armamentarii, 2026, 47(2): 241096. DOI： 10.12382/bgxb.2024.1096.

摘要

针对复杂环境干扰下拦截弹拦截高超滑翔目标的攻击区在线求解问题，提出一种以径向基函数（Radial Basis Function，RBF）神经网络为基模型、通过自注意力（Self-Attention，SA）机制集成的RBF+SA攻击区网络模型。建立考虑风和大气密度扰动等环境干扰的拦截弹运动方程组，在给定目标运动、拦截弹机动能力和制导策略的基础上，定义以拦截弹初始位置和初始速度方向表征的攻击区，并离线获得环境干扰下的攻击区样本数据。考虑不同方向风、大气密度等多项环境干扰对拦截弹攻击区影响的强非线性，基于RBF神经网络建立风、大气密度等单干扰下的攻击区网络基模型，再建立SA机制实现不同作战场景中对单干扰攻击区基模型的动态集成，形成具有较快训练速度和良好精度的多环境干扰下攻击区网络模型。仿真结果表明，攻击区RBF+SA网络模型能够以较高的精度表征复杂环境干扰下的攻击区，且能以较少的样本数据实现更高的攻击区预测精度。

Abstract

A radial basis function(RBF)+self-attention(SA)launch envelope network model

which uses RBF neural network as the base model and is integrated with SA mechanism

is proposed to address the online calculation problem of the launch envelope when an interceptor missile intercepts a hypersonic gliding target under complex environmental disturbances. The equations of motion for the interceptor missile considering environmental disturbances such as wind and atmospheric density perturbations are established

and a launch envelope characterized by the initial positions and initial velocity direction of interceptor missile is defined based on the given target motion

interceptor missile maneuverability

and guidance strategy. Additionally

the sample data for the launch envelope are obtained offline. Then considering the strong nonlinearity of the impact of multiple environmental disturbances on the interceptor missile's launch envelope

the network-based models for the launch envelope under single disturbances(e.g.

wind and atmospheric density)are established using RBF neural network

and a SA mechanism is developed to dynamically integrate the single-disturbance launch envelope base models across various combat scenarios

thus forming a launch envelope network model which has fast training speed and high accuracy under multiple environmental disturbances. The results demonstrate that the RBF+SA neural network model accurately represents the launch envelope under multiple complex environmental disturbances with high precision and achieves higher prediction accuracy using fewer samples.

关键词

Keywords

references

HUA L H, YANG B Q, MA J. Trajectory prediction in pipeline form for intercepting hypersonic gliding vehicles based on LSTM[J]. Chinese Journal of Aeronautics,2023,36(5) :421-433.

CHEN W X,GAO C S,JING W X. Proximal policy optimization guidance algorithm for intercepting near-space maneuvering targets[J]. Aerospace Science and Technology,2023,132:108031.

陈文雪,胡玉东,高长生,等.拦截高超声速滑翔飞行器：制导进展与展望[J].宇航学报,2024,45(6):799-814.

CHEN W X, HU Y D, GAO C S, et al. Intercepting hypersonic glide vehicle:progress and prospect of guidance technology[J]. Journal of Astronautics,2024,45(6):799-814. (in Chinese)

乔要宾,吴震,吕明远.空中平台主动防御系统发展现状及关键技术[J].航空兵器,2023,30(2):77-82.

QIAO Y B, WU Z, LÜ M Y. Development status and key technologies of air platform active defense system[J]. Aero Weaponry,2023,30(2):77-82. (in Chinese)

谢岚风,陈军,焦璐,等.未来空战全域火力场研究[J].航空学报,2024,45(5):296-313.

XIE L F,CHEN J,JIAO L,et al. All-domain fire field in future air combat[J].Acta Aeronautica et Astronautica Sinica,2024,45(5):296-313. (in Chinese)

史振庆,梁晓龙,张佳强,等.基于协同攻击区的航空集群最优空间构型研究[J].兵工学报,2019,40(4):788-798.

SHI Z Q,LIANG X L,ZHANG J Q,et al. Study of optimal spatial configuration of aircraft swarm based on cooperative attack zone[J]. Acta Armamentarii,2019,40(4):788-798. (in Chinese)

李曾琳,李波,白双霞,等.基于AM-SAC的无人机主空战决策[J].兵工学报,2023,44(9):2849-2858.

LI Z L,LI B,BAI S X,et al. UAV autonomous air combat decision-making based onAM-SAC[J]. Acta Armamentarii,2023,44(9):2849-2858. (in Chinese)

闫孟达,杨任农,左家亮,等.基于深度学习的空空导弹多类攻击区实时解算[J].兵工学报,2020,41(12):2466-2477.

YAN M D,YANG R N,ZUO J L,et al. Real-time computing of air-to-air missile multiple capture zones based on deep learning[J]. Acta Armamentarii,2020,41(12):2466-2477. (in Chinese)

胡东愿,刘会亮,岳龙飞,等.导弹发射包线指数优化搜索仿真分析[J].航空学报,2020,41(10):1350-1360.

HU D Y,LIU H L,YUE L F,et al. Simulation analysis of missile launching envelope with exponential optimization search[J]. Journal of Astronautics,2020,41(10):1350-1360. (in Chinese)

李枭扬,周德云,冯琦,等.基于遗传规划的空空导弹攻击区拟合[J].弹箭与制导学报,2015,35(3):16-18,22.

LI X Y, ZHOU D Y, FENG Q, et al. Air-to-air missile launch envelope fitting based on genetic programming[J]. Journal of Projectiles,Rockets,Missiles and Guidance,2015,35(3):16-18, 22. (in Chinese)

方学毅,刘俊贤,周德云.基于背景插值的空空导弹攻击区在线模拟方法[J].系统工程与电子技术,2019,41(6):1286-1293.

FANG X Y,LIU J X,ZHOU D Y. Background interpolation for online simulation of capture zone[J]. Systems Engineering and Electronics,2019,41(6):1286-1293. (in Chinese)

胡东愿,杨任农,闫孟达,等.基于自编码网络的导弹攻击区实时计算方法[J].航空学报,2020,41(4):231-247.

HU D Y,YANG R N,YAN M D,et al. Real-time calculation of missile launch envelope based on auto-encoder network[J]. Acta Aeronautica et Astronautica Sinica,2020,41(4):231-247. (in Chinese)

BAO C Y,WANG P,TANG G J. Integrated method of guidance, control and morphing for hypersonic morphing vehicle in glide phase[J]. Chinese Journal of Aeronautics,2021,34 (5):535-553.

YAO L H,YING N,SHAO D C,et al. Dynamic attack zone of air-to-air missile after being launched in random wind field[J]. Chinese Journal of Aeronautics,2015,28(5):1519-1528.

ZHANG X Y, XUE W C, LIU Z B, et al. Compensated acceleration feedback based active disturbance rejection control for launch vehicles[J]. Chinese Journal of Aeronautics,2024, 37(4):464-478.

惠耀洛,南英,陈哨东,等.空空导弹动态攻击区的高精度快速算法研究[J].弹道学报,2015,27(2):39-44.

HUI Y L,NAN Y,CHEN X D,et al. Research on rapid and high-precision calculation of dynamic attack zone for air-to-air missile[J]. Journal of Ballistics,2015,27(2):39-44. (in Chinese)

LI Y F,SHI J P,JIANG W,et al. Autonomous maneuver decision-making for a UCAV in short-range aerial combat based on an MS-DDQN algorithm[J]. Defence Technology,2022,18 (9) :1697-1714.

YUE L,XIAO H Q,XIAO D L,et al. Deep reinforcement learning and its application in autonomous fitting optimization for attack areas of UCAVs[J]. Journal of Systems Engineering and Electronics,2020,31(4):734-742.

REN D Y,WU Z Y, LI J W, et al. Point attention network for point cloud semantic segmentation[J]. Science China Information Sciences,2022,65:192104.

CHEN C, QUAN W, SHAO Z. Aerial target threat assessment based on gated recurrent unit and self-attention mechanism[J]. Journal of Systems Engineering and Electronics,2024,35 (2):361-373.

刘梦真,黄广炎,张宏,等.小样本驱动特征分段网络的防护材料折痕检测[J].兵工学报,2024,45(3):963-974.

LIU M Z, HUANG G Y, ZHANG H, et al. Protective material crease detection with small sample-driven feature segmented neural network[J]. Acta Armamentarii,2024,45(3) :963-974. (in Chinese)

武凌霄,康家银,姬云翔,等.基于多判别器双流生成对抗网络的红外与可见光图像融合[J].兵工学报,2024,45 (6):1799-1812.

WU L X,KANG J Y,JI Y X,et al. Infrared and visible image fusion using dual-stream generative adversarial network with multiple discriminators[J]. Acta Armamentarii,2024,45 (6):1799-1812. (in Chinese)

LI R F, SUN C, YU X Z, et al. Space noncooperative target trajectory tracking based on maneuvering parameter estimation[J]. space science & Technology,2023,3:0078.

周志刚,文戎.发射空对空导弹时目标进入角的确定[J].火力与指挥控制,2000(4):58-59,65.

ZHOU Z G, WEN R. Determination of the target approaching angle while launching air-to-air missiles[J]. Fire Control & Command Control,2000(4):58-59,65. (in Chinese)

钱杏芳,林瑞雄,赵亚男.导弹飞行力学[M].北京：北京理工大学出版社,2000.

QIAN X F,LIN R X,ZHAO Y N. Missile flight mechanics[M]. Beijing:Beijing Institude of Technology Press,2000. (in Chinese)

PATEL N,SHARMA S K,JOSHI V,et al. Observations of middle atmospheric seasonal variations and study of atmospheric oscillations at equatorial regions[J]. Journal of Atmospheric and Solar-Terrestrial Physics,2019,193:105066.

AMIRIAN M, SCHWENKER F. Radial basis function networks for convolutional neural networks to learn similarity distance metric and improve interpretability[J]. IEEE Access,2020,8:123087-123097.

王惟,王晓芳,林海.高超声速滑翔飞行器智能轨迹识别与预报方法[J].飞行力学,2024,42(4):64-71,87.

WANG W,WANG X F,LIN H. Intelligent trajectory recognition and prediction method for hypersonic glider vehicle[J]. Flight Dynamics,2024,42(4):64-71,87. (in Chinese)

万清橙,余萌,李玉报,等.逆轨拦截的目标命中点分支预测智能制导算法[J].航空学报,2024,45(增刊1):730873.

WAN Q C,YU M,LI Y B,et al. Intelligent guidance algorithm for target hit point branch prediction for head-on interception[J]. Acta Aeronautica et Astronautica Sinica,2024,45(S1):730873. (in Chinese)

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