机动发射条件下电子干扰策略快速计算方法

doi:10.12305/j.issn.1001-506X.2024.11.07

摘要/Abstract

摘要：

针对机动发射条件下对突防诸元的快速计算要求, 本文提出一种基于改进粒子群与反向传播(back propagation, BP)神经网络相结合的算法, 通过改进粒子群算法分别优化发射区内多个发射点位下电子干扰突防策略, 之后通过训练神经网络进行拟合, 使突防策略能够达到快速计算的目的。考虑到粒子群算法存在的随机性, 通过初始化过程中引入准优解粒子, 并增加相关约束, 使发射区内发射点能够快速求得最优解, 并在相邻点之间保持较好的连贯稳定性, 为神经网络训练提供较好的训练集。最终实现发射区内任意点位快速突防规划的目的, 相关研究方法对作战方案拟制和运用具有一定参考意义。

关键词: 机动发射, 改进粒子群, 神经网络, 电子干扰, 诸元计算

Abstract:

In response to the fast calculation requirements for penetration datas under mobile launch conditions, an algorithm is proposed based on the combination of improved particle swarm optimization and back propagation (BP) neural network. The improved particle swarm algorithm optimizes the electronic interference penetration strategy at multiple fixed launch points in the combat area, and then trains the neural network for fitting, enabling the penetration strategy to achieve the goal of fast calculation. Considering the randomness of particle swarm optimization algorithm, by introducing quasi optimal solution particles during the initialization process and adding relevant constraints, the launch points in the launch area can quickly obtain the optimal solution and maintain good coherence and stability between adjacent points, providing a good training set for neural network training, and ultimately achieving the goal of rapid penetration planning at any point in the launch area. The relevant research methods have certain reference significance for the formulation and application of combat plans.

Key words: mobile launch, improved particle swarm optimization, neural network, electronic interference, datas computing

中图分类号:

TJ761.3

雷刚, 赖灿辉, 李云舒, 罗炜. 机动发射条件下电子干扰策略快速计算方法[J]. 系统工程与电子技术, 2024, 46(11): 3648-3657.

Gang LEI, Canhui LAI, Yunshu LI, Wei LUO. A fast calculation method for electronic interference strategy under mobile launch conditions[J]. Systems Engineering and Electronics, 2024, 46(11): 3648-3657.

图/表 20

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

图11

表1

图12

图13

表2

图14

图15

图16

图17

表3

参考文献 29

1	臧红岩,高长生,荆武兴.机动发射弹道导弹集群诸元快速规划[J].宇航学报,2022,43(12):1597-1605.
	ZANGH Y,GAOC S,JINGW X.Rapid data planning of mobile launched ballistic missile cluster[J].Journal of Astronautics,2022,43(12):1597-1605.
2	鲜勇,任乐亮,郭玮林,等.机动发射条件下空间飞行器上升段弹道设计[J].北京航空航天大学学报,2019,45(9):1713-1722.
	XIANY,RENL L,GUOW L,et al.Design of ascent trajectory of space vehicle in mobile launch condition[J].Journal of Beijing University of Aeronautics and Astronautics,2019,45(9):1713-1722.
3	张涛,申军,马瑞萍,等.弹道导弹诸元准备研究[J].导弹与航天运载技术,2009,(6):16-18.
	ZHANGT,SHENJ,MAR P,et al.Research on firing data preparation for ballistic missile[J].Missiles and Space Vehicles,2009,(6):16-18.
4	韦文书,荆武兴,高长生.机动发射的弹道导弹飞行诸元的快速计算[J].哈尔滨工业大学学报,2012,44(11):7-12.
	WEIW S,JINGW X,GAOC S.A rapid method for flight program design of the ballistic missile launched on mobile platform[J].Journal of Harbin Institute of Technology,2012,44(11):7-12.
5	何睿智,刘鲁华,汤国建,等.机动发射条件下助推滑翔导弹射击诸元快速解算[J].国防科技大学学报,2017,39(4):56-61.
	HER Z,LIUL H,TANGG J,et al.Efficient method for firing data calculation of boost-glide missile in mobile condition[J].Journal of National University of Defense Technology,2017,39(4):56-61.
6	唐毓燕,李芳芳,张振宇,等.美国弹道导弹防御系统中的杀伤链与杀伤网解析[J].现代防御技术,2023,51(1):1-10.
	TANGY Y,LIF F,ZHANGZ Y,et al.Analysis of kill chain and kill net inside the US ballistic missile defense system[J].Modern Defense Technology,2023,51(1):1-10.
7	FEDARAVICIUSA,JASASK,SLIZYSE,et al.Modeling of the missile launch dynamic processes in short-range air defense system[J].Mechanika,2022,28(1):32-37. doi: 10.5755/j02.mech.29266
8	汪民乐.弹道导弹突防对策综述[J].飞航导弹,2012,(10):45-51.
	WANGM L.A review of ballistic missile penetration countermeasures[J].Aerospace Technology,2012,(10):45-51.
9	QIU X Q, GAO C S, JING W X. Maneuvering penetration stra-tegies of ballistic missiles based on deep reinforcement learning[J]. Proceedings of the Institution of Mechanical Engineers. Part G, Journal of Aerospace Engineering, 2022, 236(16): 3494-3504.
10	YONGX,RENL L,XUY J,et al.Impact point prediction guidance of ballistic missile in high maneuver penetration condition[J].Defence Technology,2023,26,213-230. doi: 10.1016/j.dt.2022.05.014
11	白新有,王枭,楚樊星.掩护弹道导弹突防支援干扰措施研究[J].战术导弹技术,2021,(3):126-132.
	BAIX Y,WANGX,CHUF X.Research on support jamming measures for covering ballistic missile penetration[J].Tactical Missile Technology,2021,(3):126-132.
12	马骏声.战略导弹突防技术应用电子对抗措施初探[J].航天电子对抗,1987,(3):11-14.
	MAJ S.Preliminary study on the application of electronic countermeasures in strategic missile penetration technology[J].Aerospace Electronic Warfare,1987,(3):11-14.
13	ZHANGC D,SONGY X,JIANGR D,et al.A cognitive electronic jamming decision-making method based on q-learning and ant colony fusion algorithm[J].Remote Sensing,2023,15(12):3108. doi: 10.3390/rs15123108
14	程强,游敬云.对弹道导弹防御系统的电子对抗技术分析[J].舰船电子对抗,2017,40(2):6-9.
	CHENGQ,YOUJ Y.Analysis of electronic countermeasure technology for ballistic MD[J].Shipboard Electronic Countermeasure,2017,40(2):6-9.
15	邵晓浪,胡泰洋,肖泽龙,等.基于LTE信号外辐射源雷达的同频干扰抑制算法[J].兵工学报,2021,42(8):1670-1679.
	SHAOX L,HUT Y,XIAOZ L,et al.Same frequency interference suppression algorithm based on LTE signal external radiation source radar[J].Acta Armamentarii,2021,42(8):1670-1679.
16	WANP F,LIAOG S,XUJ W,et al.SMSP mainlobe jamming suppression with FDA-MIMO radar based on FastICA algorithm[J].Sensors (Basel),2023,23(12):5619. doi: 10.3390/s23125619
17	LVJ H,XUEJ H.Main lobe interference suppression by FDA-MIMO radar based on a novel log function frequency offset[J].Journal of Physics,2022,012008.
18	张峰.导弹电子突防及雷达对抗技术[J].现代雷达,2014,36(2):10-13.
	ZHANGF.Radar counter technology against missile electronic penetration[J].Modern Radar,2014,36(2):10-13.
19	王怡茜. 雷达主瓣/近主瓣干扰抑制方法研究[D]. 西安: 西安电子科技大学, 2022.
	WANG Y Q. Research on methods of radar mainlobe/near mainlobe jamming suppression[D]. Xi'an: Xidian University, 2022.
20	LUW L,WANGY F,MAJ Z,et al.Dual-interference filtering method for the main lobe based on polarimetric monopulse radar[J].Electronics Letters,2022,58(16):630-632.
21	李士刚,张力争.弹道导弹突防措施分析[J].指挥控制与仿真,2014,(6):73-76.
	LIS G,ZHANGL Z.Analysis on penetration strategies for ballistic missile[J].Command Control & Simulation,2014,(6):73-76.
22	YANGB,ZHUS Q,HEX P,et al.Cognitive FDA-MIMO radar network for target discrimination and tracking with main-lobe deceptive trajectory interference[J].IEEE Trans.on Ae-rospace and Electronic Systems,2023,59(4):4207-4222.
23	肖龙旭,王顺宏,张毅.弹道导弹弹道学[M].第2版长沙:国防科技大学出版社,2005.
	XIAOL X,WANGS H,ZHANGY.Ballistics of ballistic missiles[M].2nd edChangsha:National University of Defense Technology Press,2005.
24	张伟军,洪闯,关宝财,等.靶弹突防有源干扰机应用及其STK仿真研究[J].计算机测量与控制,2022,30(3):133-138.
	ZHANGW J,HONGC,GUANB C,et al.Research on application and STK simulation of penetrating active jammer for target missile[J].Computer Measurement & Control,2022,30(3):133-138.
25	陈方予,薛晓强,郭冬子,等.弹道导弹突防干扰装置工程应用技术[J].航天电子对抗,2016,32(5):33-35, 55.
	CHENF Y,XUEX Q,GUOD Z,et al.Engineering application technology of ballistic missile penetration interference device[J].Aerospace Electronic Warfare,2016,32(5):33-35, 55.
26	黎晓春.伴飞干扰对反导雷达突防对抗效果仿真分析[J].航天电子对抗,2017,33(6):19-22.
	LIX C.Simulation and analysis of countermeasures between accompanying flying jamming and missile defense radar[J].Aerospace Electronic Warfare,2017,33(6):19-22.
27	刘畅,刘湘伟,郭建蓬,等.伴随掩护进攻分队时雷达干扰机队形研究[J].指挥控制与仿真,2013,35(2):25-29.
	LIUC,LIUX W,GUOJ P,et al.The optimal formation of radar jamming equipment in accompanying assaulting cavalry[J].Command Control & Simulation,2013,35(2):25-29.
28	HUAIX X,XINGH,WANGK.A joint allocation method of multi-jammer cooperative jamming resources based on suppression effectiveness[J].Mathematics,2023,11(4):826.
29	李明,赵夏丽.舰空导弹拦截反舰导弹仿真模型研究[J].计算机仿真,2006,23(5):14-17.
	LIM,ZHAOX L.Simulation model for surface-to-air intercepting missile[J].Computer Simulation,2006,23(5):14-17.

参数	取值范围
释放仰角/(°)	[-180, 180]
释放偏角/(°)	[-90, 90]

参数	取值范围
释放仰角/(°)	[$ \psi$_las-3, $ \psi$_las+3]
释放偏角/(°)	[φ_las-3, φ_las+3]

参数	传统方法训练集	改进方法训练集	测试集
发射点数量	121	121	100
平均掩护效益/s	77.88	78.78	77.98
预测掩护效益/s	66.31	79.66	-
平均预测误差/s	11.57	0.88	-

[1]	张天骐, 杨宗方, 邹涵, 马焜然. 基于编码矩阵估计的极化码参数盲识别算法[J]. 系统工程与电子技术, 2024, 46(9): 3221-3230.
[2]	王磊, 张劲, 叶秋炫. LDACS系统基于循环谱和残差神经网络的频谱感知方法[J]. 系统工程与电子技术, 2024, 46(9): 3231-3238.
[3]	张瑞斌, 朱梦韬, 李云杰. 对调制识别网络隐身的雷达发射信号生成方法[J]. 系统工程与电子技术, 2024, 46(7): 2256-2268.
[4]	齐兵, 程建华, 赵砚驰, 汪籽粒. 基于微形变分析的电容式MEMS加速度计温漂误差精密估计方法[J]. 系统工程与电子技术, 2024, 46(7): 2437-2445.
[5]	吴巍屹, 贾云献, 姜相争, 史宪铭, 刘洁, 刘彬, 董恩志, 朱曦. 面向阶段任务的携行器材品种确定方法[J]. 系统工程与电子技术, 2024, 46(6): 2054-2064.
[6]	庆豪, 方志耕, 王育红, 邱玺睿. 基于灰色-神经网络的民机需求组合预测[J]. 系统工程与电子技术, 2024, 46(5): 1665-1672.
[7]	陶灿灿, 周锐. 面向空地中继网络优化的无人机运动控制方法[J]. 系统工程与电子技术, 2024, 46(5): 1712-1723.
[8]	杨宗方, 张天骐, 马焜然, 邹涵. 基于深层神经网络的信道编码类型盲识别[J]. 系统工程与电子技术, 2024, 46(5): 1820-1829.
[9]	何通, 卢青, 周军, 郭宗易. 带有神经网络干扰观测器的视线角约束制导[J]. 系统工程与电子技术, 2024, 46(4): 1372-1382.
[10]	周红进, 宋辉, 范文良, 王苏, 谷东亮. 基于贝叶斯神经网络的船用惯导定位修正方法[J]. 系统工程与电子技术, 2024, 46(4): 1393-1400.
[11]	孟宪鹏, 刘利民, 董健, 王力, 胡文华. 基于双胞循环神经网络的雷达捷变频行为识别[J]. 系统工程与电子技术, 2024, 46(3): 898-905.
[12]	于蕾, 邓秋月, 郑丽颖, 吴昊宇. 二阶逐层特征融合网络的图像超分辨重建[J]. 系统工程与电子技术, 2024, 46(2): 391-400.
[13]	王坤, 段欣然, 陈征, 黎军. 过载和攻击时间约束下的非线性最优制导方法[J]. 系统工程与电子技术, 2024, 46(2): 649-657.
[14]	肖博文, 马泽远, 鲁天宇, 夏群利. 平台式导引头隔离度模型在线辨识方法[J]. 系统工程与电子技术, 2024, 46(11): 3595-3604.
[15]	王浩渊, 粟华, 李鹏, 龚春林. 基于数据合成的飞行器结构损伤状态快速识别方法[J]. 系统工程与电子技术, 2024, 46(11): 3774-3783.