摘要
针对超高速侵彻多层复杂目标时引信过载信号混叠粘连,导致计层识别精度低、自适应差的问题,提出基于多信息融合的超高速侵彻引信层数识别方法。高电导率和磁导率的战斗部在超高速碰撞时会产生显著的电磁效应,利用其侵穿过程产生的感应电场信号扩充样本容量以消除采用单一过载信号带来的随机干扰,并提高目标识别的精准性和适应性。首先对侵穿过程中的力磁电多物理场信号进行分析,根据电场信号与过载信号之间的相关性,采用核主成分分析算法实现多源信号的降维融合,然后基于复合信号设计识别策略来实现超高速侵彻多层靶板目标的计层。仿真结果表明,该方法可以有效识别侵穿次数、碰靶时刻且识别相对误差控制在10%以内,可以提高引信精准自主计层的能力。
Aiming at the problems of low accuracy and poor adaptability of layer counting identification caused by the overlap and conglutination of overload signals when the fuze penetrates multi-layer complex targets at ultra-high speed,a layer identification method for hypervelocity penetration fuze based on multi-information fusion was proposed in this paper.The warhead with high permeability and conductivity produced significant electromagnetic effects during hypervelocity collision.This method used the induced electric field signal generated during projectile penetration to expand the sample capacity to eliminate the random interference caused by a signal overload signal,and improved the accuracy and adaptability of target recognition.Firstly,the force-magnetic-electric multi-physical field signals in the process of penetration were analyzed.According to the correlation between the induced electric field signals and the overload signals,the kernel principal component analysis(KPCA)algorithm was used to realize the dimensionality reduction fusion of multi-source signals.Then,based on the composite signals,a layer identification method for hypervelocity penetration of multi-layer target was proposed.The simulation results showed that the proposed method could effectively identify the layers number of penetrations and the penetrating time,and the relative error of identification time was controlled within 10%,which could improve the ability of accurate autonomous layer counting of the fuze.
作者
邵志豪
谢雨岑
梁瑊辉
郜王鑫
栗建桥
张珂
SHAO Zhihao;XIE Yucen;LIANG Jianhui;GAO Wangxin;LI Jianqiao;ZHANG Ke(Science and Technology on Electromechanical Dynamic Control Laboratory,Xi’an 710065,China;State Key Laboratory of Explosion Science and Technology,Beijing Institute of Technology,Beijing 100081,China;Xi’an Institute of Electromechanical Information Technology,Xi’an 710065,China)
出处
《探测与控制学报》
CSCD
北大核心
2023年第5期34-39,48,共7页
Journal of Detection & Control
关键词
超高速侵彻
侵彻过载分析
感应电场
信息融合
计层识别
hypervelocity penetration
overload analysis
inducted electric filed
information fusion
layers identification
