Abstract：Ultra Wideband (UWB) radar has been widely used in many areas such as life detection and so on. One of the most concerned problems should be solved through UWB radar is the non-contact detection of vital signs information for human. In this paper, a parametric bispectrum estimation algorithm was applied to analyze the UWB echoes and an autoregressive (AR) model driven by non-Gaussian white noise was applied to finish the signal modeling. Then estimate the parameters with the constrained third order mean (CTOM) method. Thus, a novel detection algorithm for human targets based on the UWB radar was developed. Then compare this algorithm with a detection algorithm based on power spectrum density (PSD). Comparison results showed that there was significant difference between signals of positions with human targets and signals of positions without human targets within bispectrum domain, which indicated that new algorithm can implement the non-contact detection for human targets effectively.
刘淼，吕昊，李盛，荆西京，王健琪. 基于参数化双谱分析的超宽带生物雷达人体目标非接触检测[J]. 中国医疗设备, 2013, 28(11): 15-18.
LIU Miao, LV Hao, LI Sheng, JING Xi-jing, WANG Jian-qi. Non-contact Detection of Human Targets via UWB Bioradar Based on Parametric Bispectrum Analysis. China Medical Devices, 2013, 28(11): 15-18.
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