CAJ | 학술논문

弹道目标识别是典型的非合作目标识别，针对弹道目标识别中先验信息稀缺，目标群描述不完整等特点，研究了支持矢量描述方法在弹道识别中的应用。通过引入模糊隶属度进行威胁度排序，分别研究了单类与多类目标的分类筛选，并总体设计了基于支持矢量描述的目标综合识别分类器，给出了目标综合识别流程。最后分别运用目标群仿真数据和暗室数据进行了已知部分先验信息和已知全部先验信息的仿真实验，实验结果表明，该方法在上述场景下有较好的分类性能。
탄도목표식별시전형적비합작목표식별，침대탄도목표식별중선험신식희결，목표군묘술불완정등특점，연구료지지시량묘술방법재탄도식별중적응용。통과인입모호대속도진행위협도배서，분별연구료단류여다류목표적분류사선，병총체설계료기우지지시량묘술적목표종합식별분류기，급출료목표종합식별류정。최후분별운용목표군방진수거화암실수거진행료이지부분선험신식화이지전부선험신식적방진실험，실험결과표명，해방법재상술장경하유교호적분류성능。
Ballistic target discrimination is proved to be typically non-cooperative.As the prior informa-tion is limited and the description of targets is not enough in the ballistic target discrimination,the use of support vector data description method in ballistic target recognition is researched.The fuzzy membership degree is introduced to sort the threat degree,and the classifications of single type and many types of target are researched.Then the integrated target discrimination classifier based on support vector data description is designed and implemented.Also,the integrated recognition process is proposed.The results of experiment of known part of the prior information and known all of the prior information based on simulated and meas-ured data respectively verify that the method has better classification performance in such condition.