摘要
弹道导弹目标的微动特征是中段真假弹头识别的重要依据之一。文中研究了基于宽带雷达目标一维距离像序列的微动特征提取方法。首先分析了弹头微动过程中目标相对雷达视线的姿态角呈周期性变化,进而引起一维距离像变化的周期性。在此基础上,提出了通过计算距离像序列最大滑动相关系数变化的周期提取目标微动周期的方法。仿真试验验证了所提算法的有效性。
Micro-motion feature is an important basis for mid-course warhead discrimination. The target aspect angle is changing approximately periodically during the micro-motion period. Thus the high-resolution range profile （HRRP） sequence is changing the same way. Based on the analysis, a new method is proposed to extract the micro-motion period by estimating the period of HR- RP sequence＇s maximum sliding correlation coefficient. Simulation results show the effectiveness of the proposed method.
出处
《现代雷达》
CSCD
北大核心
2014年第5期40-43,共4页
Modern Radar
关键词
弹道导弹识别
微动
特征提取
一维距离像
姿态角
ballistic missile recognition
micro-motion
feature extraction
high-resolution range profile
aspect angle
