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作 者:熊跃宇 于霄[2] 张杨[2] 薛慧君[2] 焦腾[2] 吕昊[2] XIONG Yue-yu;YU Xiao;ZHANG Yang;XUE Hui-jun;JIAO Teng;LV Hao(Company, the First Battalion,Cadet Brigade;School of Biomedical Engineering, the Fourth Military Medical University, Xi’an Shaanxi 710032, China)
机构地区:[1]第四军医大学学员旅一营一连,陕西西安710032 [2]第四军医大学生物医学工程学院,陕西西安710032
出 处:《中国医疗设备》2017年第4期21-25,共5页China Medical Devices
基 金:国家重大科研仪器设备研制专项(61327805);陕西省科技新星项目(2016KJXX-03)
摘 要:超宽谱(Ultra-wideband,UWB)生物雷达是一种主要以人体为探测目标的新概念雷达技术,因具有良好的距离分辨率、穿透能力和系统兼容性,是目前生物雷达技术的研究热点。现阶段,UWB生物雷达信号增强主要基于回波数据时间维度的处理。本文提出了一种基于距离维度处理的UWB生物雷达回波信号增强方法,它采用Savitzky-Golay滤波,通过多项式最小二乘拟合来平滑回波中的杂波和噪声,同时能有效保留人体目标回波的微弱细节信息。实验结果表明,穿透探测条件下当目标距离较远导致回波信杂噪比低时,采用距离维度的Savitzky-Golay滤波仍能有效检测出人体呼吸信号,效果优于距离加窗滑动平均,为UWB生物雷达回波信号增强提供了一种新的技术方法,能提高UWB生物雷达在穿墙探测、应急救援等实际应用场合的探测性能。Ultra-wideband (UWB) bio-radar is a new concept of radar technology mainly aiming at human detection. It has a good range resolution, penetrating ability and system compatibility, and has become a hotspot of bio-radar technology currently. At present, the enhancement of UWB bio-radar signals is mainly based on the processing of echo data in time dimension. In this paper, a new approach to enhance the echo signals of UWB bio-radar was proposed for range dimension processing. This method used the Savitzky-Golay filtering to smooth clutters and noises in echo signals by the polynomial least-square fitting, which could effectively retain weak details of the target echo information. The experimental results showed that, under penetrating obstacles, human respiration could be detected by UWB bio-radar using the Savitzky-Golay filtering the range dimension when the signal-to-clutter-andnoise ratio of the echo signals decreased due to the human target getting further from the bio-radar.Thus this paper provides a new method to enhance the echo signals of UWB bio-radar. The method has great promise to improve the detection performance of UWB bio-radar in practical applications such as through-wall surveillance, emergency rescue and so on.
关 键 词:超宽谱 生物雷达 Savitzky-Golay滤波 窄带连续波 地震救援
分 类 号:R318.03[医药卫生—生物医学工程] R82[医药卫生—基础医学]
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