基于激波信号的超音速弹丸识别技术探索  

Research on Identifying Supersonic Projectiles Based on Shock-Wave

作　　者：字正华[1] 石庚辰[2] 

机构地区：[1]楚雄师范学院物理与电子科学系,云南楚雄675000 [2]北京理工大学机电工程学院,北京100081

出　　处：《测试技术学报》2007年第2期121-125,共5页Journal of Test and Measurement Technology

基　　金：云南省自然科学基金资助项目(2005F0031Q)

摘　　要：为了探索低空超音速目标的探测技术,提出了一种基于激波信号的超音速飞行弹丸的目标分类识别方法.通过5.56 mm,7.62 mm和12.7 mm三种枪弹实测分析,提取信号的时域特征.通过主成分分析方法,对原始信息进行了处理,用支持向量机方法进行学习训练,设计了两级SVM分类器,获得了很好的分类效果.研究表明,基于超音速飞行体产生的激波信息识别目标是可行的.For detecting the supersonic targets in low sky, a discrimination method based on shockwave for supersonic projectiles has been proposed. For the experimental analysis of 5.56 mm, 7.62 mm and 12. 7 mm projectiles by the method, the time-domain feature of signal was extracted and the original information was processed by the approach of principal component analysis （PCA） first. And then by designing two-level SVM （support vector machine） classifiers, the author obtained the effective classifying results. It is confirmed that identifying supersonic projectiles based on shock wave signal is feasible.

关 键 词：超音速弹丸 激波 主成分分析 支持向量机 分类 

分 类 号：TN911.7[电子电信—通信与信息系统]