弹道目标微动特征分析与提取方法  

Micro-motion feature analysis and extraction methods for ballistic targets

作　　者：李康乐[1] 姜卫东[1] 黎湘[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,湖南长沙410073

出　　处：《系统工程与电子技术》2010年第1期115-118,共4页Systems Engineering and Electronics

基　　金：国家自然科学基金(60402032)资助课题

摘　　要：进动特征对导弹防御目标识别具有重要意义。建立了单频信号下雷达观测弹头的进动模型和回波模型,通过对进动弹头回波频谱与微多普勒调制特性的定量分析,提出了利用回波相关方法和频谱展宽估计进动参数的方法,并利用暗室测量数据对该方法的性能进行了实验验证。实验结果表明,该方法在目标进动角不大条件下可以有效估计目标的进动角和进动周期。Precession is an important characteristic to discrimination in ballistic missile defense. The motion dynamics and echo models of the precessing warhead in single frequency are set up. Based on a quantitative analysis on echo spectrum and micro-Doppler modulation of precessing cone, a precession parameter estimation method by echo correlation and spectrum width is proposed. The experiments on data by simulation and darkroom measurement verify the method. The experiment results show that the method is effective in estimating precession angle and cycle when the precession angle is not very large.

关 键 词：微多普勒 进动 锥体 参数估计 

分 类 号：TN95[电子电信—信号与信息处理]