CAJ | 학술논문

超宽带（Ultra Wideband, UWB）生物雷达广泛应用于生命体探测等领域，而人体生命体征信息的非接触检测是其需要解决的最主要问题。本文利用参数化双谱估计算法分析UWB生物雷达回波信号，以非高斯白噪声激励的AR（Auto Regression）参数模型对信号进行建模，并用带约束的三阶平均法对模型的参数进行估计。在此基础上，提出了一种新的基于UWB的人体目标非接触检测算法，并将该算法与现行的基于功率谱密度的检测算法进行对比。实验结果表明，有人位置点信号和无人位置点信号在双谱域表现出明显的差别特性，新算法能更好地实现人体目标的非接触检测。
초관대（Ultra Wideband, UWB）생물뢰체엄범응용우생명체탐측등영역，이인체생명체정신식적비접촉검측시기수요해결적최주요문제。본문이용삼수화쌍보고계산법분석UWB생물뢰체회파신호，이비고사백조성격려적AR（Auto Regression）삼수모형대신호진행건모，병용대약속적삼계평균법대모형적삼수진행고계。재차기출상，제출료일충신적기우UWB적인체목표비접촉검측산법，병장해산법여현행적기우공솔보밀도적검측산법진행대비。실험결과표명，유인위치점신호화무인위치점신호재쌍보역표현출명현적차별특성，신산법능경호지실현인체목표적비접촉검측。
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 ifnish 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 signiifcant 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.