基于CCBP算法的多普勒雷达生命信号检测

Vital Signal Detection of Doppler Radar Using the CCBP Algorithm

多普勒雷达系统利用人体胸腔起伏引起的多普勒效应提取生命特征信号。在建立多普勒雷达人体微动信号模型的基础上,提出一种基于复连续基追踪（CCBP）算法的生命信号检测方法用于提取人体呼吸和心跳微动信号的频率。CCBP算法通过极坐标插值和凸优化问题求解技术来提取生命信号信息,能够实现对能量较弱的心跳信号的频率准确估计。仿真实验结果验证了所提算法的有效性和准确性。

Doppler radar system utilizes the Doppler effect caused by the human chest movement to extract the vital signal. Based on the established human micro-motion signal model, this paper proposes the complex continuous basis pursuit （CCBP） based vital signal detection algorithm to extract the frequencies of human respiration and heartbeat signal. The pro- posed CCBP algorithm can extract the vital signal information by using the polar interpolation and the convex optimization problem solving technique, which can accurately estimate the frequency of relatively weak heartbeat signal. Simulation experiment results have verified the validity and accuracy of the proposed algorithm.