摘要
人体生命参数检测可用于地震后废墟中的人员搜寻以及反恐行动中人质的营救。由于人体体动的雷达回波信号非常微弱,用传统的时频分析方法无法检测出由体动产生的微多普勒频率。针对这一问题,提出了一种基于经验模式分解的人体生命参数检测方法,首先对人体回波信号进行经验模式分解,接着对分解后得到的内在模函数进行时频分析,可以从时频图中有效提取出由人体体动引起的微多普勒频率。仿真实验表明在信噪比较低时文中所提方法的有效性。
Life parameter detection can be used in searching wounded people buried in the debris after earthquake and hostage release in the action of anti-terrorism.However,the radar returned signal from micro-motion is usually very weak so that it is hard to be detected by traditional time-frequency analysis methods.In view of this problem,a life parameter detection method based on empirical mode decomposition is proposed.Firstly the returned signal is decomposed into different intrinsic mode functions.Then the intrinsic mode functions are analyzed by using time-frequency analysis,and the micro-Doppler frequency caused by human micro-motion can be extracted from time-frequency distribution.Finally the validity of the method even with low signal-to-noise ratio is verified by computer simulations.
出处
《电子科技》
2010年第12期67-69,75,共4页
Electronic Science and Technology
关键词
雷达回波信号
经验模式分解
微多普勒频率
时频分析
radar returned signal
empirical mode decomposition
micro-Doppler frequency
time-frequency analysis
