【摘要】 雷达式生命探测仪通过检测生命体的呼吸信号来确定废墟、建筑物内等一些用肉眼无法观测到的生命体时,不仅关心生命体是否存在,而且需要知道生命体为人体还是动物。本文利用短时傅利叶变换对生命体的呼吸信号进行变换,并通过奇异值分解有效地提取特征矢量进行模式识别,能够成功地识别人体和动物。实验结果表明,基于短时傅利叶变换的奇异值分解法能够稳定、有效地提取特征矢量,从而便雷达式生命探测仪对生命体进行较准确地识别。更多还原

【Abstract】 To determine whether a living object is human being or animal by detecting the respiration signal using the life-detector based on radar to penetrate the building or debris.To fully utilize the nonstationary character of the respiration signal,short time fourier transform(STFT) is employed to get the signal’s time-frequency representation.Singular value decomposition(SVD) is then used in the spectrogram to extract feature vector for pattern identification.Human beings and animals can be identified from the respiration sensed by the life-detector based on radar.Experimental results show that the method based on STFT and SVD is stable and efficient to differ from the human being and animal.更多还原