基于PCA的反辐射导弹激光引信目标识别方法

摘要

为了满足空舰反辐射导弹激光引信对舰载雷达目标的识别要求,通过建立舰载雷达目标三维模型,运用激光仿真软件获取雷达目标点云数据,在此基础上提出采用主成分分析法(PCA)分析目标数据点在局部空间分布特性的目标识别方法.利用Matlab进行仿真分析,结果表明分析得到的雷达目标数据点在局部空间的分布特性与实际目标基本相符,可将其作为数据模板与激光引信探测到的目标信息进行匹配从而完成识别.%In order to meet the requirements of airship anti-radiation missile laser fuzes on shipborne radar target identification, this paper established a three-dimensional model of shipborne radar target, and used laser simulation software to acquire radar target point cloud data. Based on this, a principal component analysis method was proposed for analyzing the distribution characteristics of target data points in local space. MATLAB simulation analysis showed that the distribution of radar target data points in the local space was basically consistent with the actual target, and it could be used as a data template to match the target information detected by the laser fuze to complete the recognition.