摘要
侵彻武器能够有效毁伤敌方地下工事等多层结构目标,为了实现侵彻武器对炸点的精准控制,以达到最佳的毁伤效果,多层侵彻引信侵彻信号采集与识别至关重要。本文围绕硬目标侵彻引信中侵彻信号的获取、计层算法等关键技术,提出一种基于阵列式传感器的侵彻模拟实验方法,通过设计间距,控制三次撞击时间的间隔分别为9.15和5.41 ms,对比有限元仿真结果,验证了多通道信号采集电路的可靠性与模拟实验方法的可行性。同时,为提高计层识别的准确性,分别采用短时傅里叶变换、小波变换、Winger-Vile分布对实验数据进行计层分析。分析结果表明,Winger-Vie算法可从时间、频率、能量多维度综合分析,具有较高的识别率和直观性,但在信息提取方面还需要改进时频分析进行优化。本文研究内容为下一步实现高精度侵彻信号计层以及解决信号黏连问题提供了重要依据。
The penetration weapons can effectively damage the enemy's underground works and other multi-layer structural targets.To achieve the precise control of the blast point and achieve the best damage effect,the acquisition and identification of the multilayer penetration signal are crucial.In this paper,a penetration simulation experiment method based on array sensor is proposed about several key technologies such as acquisition of penetration signal and layer identification algorithm.The interval of three impact times is controlled to be 9.15 and 5.41 ms.Compared with the finite element simulation results,the reliability of the multi-channel signal acquisition circuit and the feasibility of the simulation experiment method are verified.Meanwhile,to improve the accuracy of layer identification,short-time Fourier transform,wavelet transform and Winger-Vile distribution were used to analyze the experimental data at meter layer.The analysis results show that Winger-Vie algorithm can be comprehensively analyzed from multiple dimensions of time,frequency and energy,with high recognition rate and intuitiveness.However,in terms of information extraction,it still needs to improve the time-frequency analysis for optimization.The research of this paper provides an important basis for realizing high-precision penetration signal meter layer and solving signal adhesion problem.
作者
郑德智
乔孟添
李中翔
胡纯
张成俊
Zheng Dezhi;Qiao Mengtian;Li Zhongxiang;Hu Chun;Zhang Chengjuna(Advanced Research Institute of Multidisciplinary Science,Bejing Institute of Technology,Beijing 100081,China;Yangtze River Delta Research Institute(Jiaxing),Beijing Institute of Technology,Jiaxing 314003,China;School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;Photon Technology(Zhejiang)Co.,Ltd.,Jiaxing 314100,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2023年第3期221-233,共13页
Chinese Journal of Scientific Instrument
基金
科技部重点研发计划(2021YFB3201502)
国家自然科学基金(62203056,62201056)
浙江省级重点研发计划(2021C01188)项目资助。