生物雷达是以探测生命体为目标的新概念雷达。静止人体的生命体征由于障碍物的衰减作用,呈现信号微弱、受环境杂波干扰较大的特点,这就使生物雷达对人体目标的探测性能降低。本研究采用双通道步进频率连续波(SFCW)雷达改善该问题,首先建立生命体征信号的SFCW回波模型,然后分析SFCW雷达参数对探测性能的影响,最终提出了基于双通道SFCW生物雷达的静止人体目标探测方法。本方法首先利用预处理去除系统和传输信道引入的干扰,然后通过通道间相干处理进一步抑制环境杂波,最后利用CFAR检测器、形态学滤波和聚类算法对生命体进行探测与定位。实测数据处理结果表明,双通道SFCW生命探测雷达系统可有效去除杂波干扰,实现人体目标的高性能探测与定位。%Bio-radar, which is aimed at detection of vital signs, is an emerging concept. The vital sign of static human becomes weak and easily interfered by the surrounding environment due to the attenuation of the obstacles, which makes it difficult for bio-radars to obtain the high performance in detection of static human body. Dual-channel SFCW (Stepped-Frequency Continuous Wave) radar is used to improve this problem in this paper. The dual-channel SFCW echo model of vital signs are established firstly, and then the influence of the SFCW radar parameter on the detection performance is analyzed. On this basis, a new method of static human body detection based on dual-channel SFCW radar is proposed. In this method, preprocessing is used to suppress interference, and then dual-channel coherence is adopted to further suppress environmental clutter. The CFAR detector, morphological filtering and clustering are applied in detection and localization of static human. Experimental results show that the proposed method can effectively suppress clutter and improve the detection performance.
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