基于深度神经网络的多普勒雷达心率检测接收机前端设计

W. Lai
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引用次数: 0

摘要

本文提出了一种24GHz高增益多普勒雷达检测接收机前端,用于消除非接触式医疗保健应用中深度神经网络(DNN)的随机心率传感。将所提出的心率传感算法、不同频率和相位偏移进行综合,并与仿真相结合,训练深度神经网络分析。本文提出了LNA集成电路、混频器和带阵列天线的带通滤波器对多普勒雷达心率检测的贡献,实验结果表明,该方法可以减轻人体运动或正常呼吸运动时的噪声消除和信号稳定,用于24GHz多普勒雷达生命体征检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Receiver Frontend with Deep Neural Network for Doppler Radar Heart Rate Detection
This article presents a 24GHz doppler radar detection, high gain, receiver frontend for cancelling random heart rate sensing by deep neural network (DNN) in noncontact healthcare applications. The proposed heart rate sensing with algorithm, different frequencies and phase offsets are synthesized and integrated with simulation to train the DNN analysis. This article promoted integrated circuit in LNA, Mixer and bandpass filter with array antenna for contribution of doppler radar heart rate detection Experimental results demonstrate that the proposed idea can alleviate the noise cancellation and stable signal when body movement or normal respiration motion for 24GHz doppler radar vital sign detection.
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