%0 Journal Article
%T Micro-Doppler Character Analysis of Moving Objects Using Through-Wall Radar Based on Improved EEMD<br>基于改进EEMD的穿墙雷达动目标微多普勒特性分析
%A Wang Hong
%A Narayanan R M
%A Zhou Zheng-ou
%A Li Ting-jun
%A Kong Ling-jiang
%A <br>王宏
%A Narayanan R M
%A 周正欧
%A 李廷军
%A 孔令讲
%J 电子与信息学报
%D 2010
%I 
%X The micro-Doppler signals of human’s heartbeat, breathe and arm-moving using through-wall radar are nonlinear and non-stationary, which can be analyzed by Empirical Mode Decomposition (EMD). Due to the mode mixing problem in EMD, an improved Ensemble Empirical Mode Decomposition (EEMD) is proposed in this paper, and is applied to the human micro-Doppler character analysis of the through-wall radar. The time-frequency-energy spectrum is obtained by using Hilbert-Huang Transform (HHT) to every Intrinsic Mode Functions (IMF). The analysis on simulation data and experimental results show that the improved EEMD can effectively eliminate the mode mixing problem in EMD, which means different frequency scales in human’s micro-Doppler signals are decomposed in different IMF. Furthermore, this method can restrain the noise in the original signal and more detail information can be seen clearly in the time-frequency spectrum.
%K Through-wall radar
%K Empirical Mode Decomposition (EMD)
%K Ensemble Empirical Mode Decomposition (EEMD)
%K Hilbert-Huang Transform (HHT)
%K Micro-Doppler character<br>穿墙雷达
%K 经验模式分解
%K 整体平均经验模式分解
%K Hilbert-Huang变换
%K 微多普勒特性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=CDA0E04AD7D6719A421A66A8AD875DEB&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=B31275AF3241DB2D&sid=B7AB8E33F0FC19ED&eid=35D8C930A8A0D2C6&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=18