Research On Detection And Extraction Of Human Life Features Based On Micro-doppler

Using millimeter-wave radar for vital signs detection,extracting human breathing and heartbeat signal characteristics that can be blocked by clothes,walls,quilts,etc.,and can directly detect vital signs without contacting the human body,and can monitor the health status of the living body ensures human safety at any time.But at the same time,this method has certain limitations.Although this method can remove interference from other objects in free space or the human body itself,the presence of breathing harmonics will also interfere the test results.Therefore,for the extraction of breathing and heartbeat signals,proper and appropriate signal processing algorithm selection is particularly important and has been a research focus.The main works are as follows.Firstly,based on the traditional human breathing heartbeat model,combined with the electrocardiogram,an improved human target heartbeat breathing model is established.Secondly,the human body's radar echo simulation signal is established,and Empirical Mode Decomposition(EMD),Ensemble Empirical Mode Decomposition(EEMD),Complementary Ensemble Empirical Mode Decomposition(CEEMD),Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN),Modified Ensemble Empirical Mode Decomposition(MEEMD),five modal decomposition methods are used to decompose human life signals and determine the optimal decomposition method as MEEMD.Secondly,in order to accurately extract human vital signs signals,a method for detecting and extracting human vital signs signals based on MEEMD and ap FFT is proposed.This method first performs MEEMD decomposition on the radar echo signals obtained,and obtains multiple IMF intrinsic mode functions,and then uses ap FFT spectrum analysis to analyze the intrinsic mode functions.The different components are classified and reconstructed according to the ratio of frequency and energy,so as to further achieve the extraction and separation of the frequency of human life characteristics and the frequency of breathing signals.Finally,millimeter-wave radar was used to collect human life measured data.The results of the measured data show that MEEMD can well suppress the modal aliasing effect and is beneficial to the extraction of breathing and heartbeat signals.It can well prevent spectrum leakage,and is beneficial for frequency extraction of breathing and heartbeat signals.Using simulation and measured data,the heartbeat breathing characteristics of 5 different subjects at 3 different distances are extracted,and signal-tonoise ratio comparison and detection Error analysis provides a safe and effective analysis method for extracting human vital signs under various complicated and difficult situations.Figure 34;Table 11;Reference 60...