基于经验模态分解的多普勒信号提取  

Extraction of Doppler Signal Based on Empirical Mode Decomposition

作　　者：杨彦利[1,2] 邓甲昊[1] 

机构地区：[1]北京理工大学机电工程与控制国家级重点实验室,北京100081 [2]天津工业大学信息与通信工程学院,天津300160

出　　处：《制导与引信》2010年第3期1-5,共5页Guidance & Fuze

摘　　要：为提高引信目标信息利用水平,针对连续波多普勒体制无线电引信,研究了经验模态分解(EMD)对非平稳多普勒信号的提取。EMD能够自适应地将多普勒信号提取到窄带的子带中。借助仿真手段,按对空、对地两种引信目标信号,分析对比了EMD和小波变换对多普勒信号的提取。仿真结果表明:EMD更适合于对地目标多普勒信号的提取,而在对空目标的多普勒信号提取上不如小波变换。To better exploit target information,the extraction of nonstationary Doppler signals by empirical mode decomposition（EMD） is investigated for continuous wave Doppler radio fuzes.EMD can decompose Doppler signals into narrow subbands adaptively.Based on some simulations with ground and air targets,the extraction of Doppler signals by EMD and the wavelet transform is compared.The simulation results show that EMD adapts to extract Doppler signals of ground targets,but it is less robust than the wavelet transform for air targets.

关 键 词：引信 多普勒信号 小波变换 时频调制 信号处理 

分 类 号：TJ434.1[兵器科学与技术—火炮、自动武器与弹药工程] TN911.7[电子电信—通信与信息系统]