基于距离多普勒二维稀疏重构的生命体征目标成像算法研究

Research into Vital Sign Target Imaging Algorithm Based on Range Doppler Two-dimensional Sparse Reconstruction

在人体生命体征信号探测领域,非接触式生命体征雷达利用人体呼吸时胸腔所产生的微多普勒信息来进行成像与检测,在医疗救治、紧急救援、室内检测等方面得到越来越广泛的应用,并且此类场景中多有运动物体干扰目标影响人体目标生命体征信号的探测。研究了基于距离多普勒二维稀疏重构成像算法,在抑制了运动物体目标干扰的情况下,完成了人体目标的二维空间成像与定位。

In the field of signal detection of human vital sign,non-contact vital sign radar uses the micro-Doppler information generated by the human chest cavity during breathing for imaging and detection,and has been more and more widely used in medical treatment,emergency rescue,indoor detection and so on.In such scenes,there are mostly moving objects interfering with the target and affecting the detection of human target vital sign signal.The two-dimensional sparse reconstruction image algorithm based on range Doppler is studied,and the two-dimensional spatial imaging and positioning of human targets are completed under the condition of suppressing the interference of moving objects.