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作 者:裴一峰 陈国平[1] 黄超意 管春[1] PEI Yi-feng;CHEN Guo-ping;HUANG Chao-yi;GUAN Chun(College of Optoelectronic Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出 处:《科学技术与工程》2021年第5期1877-1883,共7页Science Technology and Engineering
基 金:国家自然科学基金(61671091)。
摘 要:为快速、准确判断出被检测人员是否携带金属刀具,提出一种针对金属刀具的毫米波回波信号分析方法。该方法利用小波变换对原始回波信号进行分解和重构,并根据峰值个数确定该信号是否具有金属刀具特征,能有效减少时间开销,进而提高针对金属刀具目标安检的效率,并设计仅有刀、圆柱体替代人体、人携刀和人无刀4组实验进行仿真验证。实验结果表明:该方法能够在0.5 s内准确判定出具有金属刀具特征的回波信号,达到快速检测金属刀具的目的。In order to quickly and accurately determine whether the inspected person carried a metal knife,a millimeter wave echo signal analysis method for the metal knife was proposed.It used wavelet transform to decompose and reconstruct the original echo signal,and determined whether the signal had the characteristics of a metal knife according to the number of peaks,which could effectively reduce the time overhead and improve the efficiency of metal tool target security inspection.Four groups of experiments including knife,cylinder instead of human body,human carrying knife and human without knife were employed for simulation verification.The experimental results show that this method can accurately determine the echo signal with the characteristics of the metal knife within 0.5 s,so as to achieve the purpose of quickly detecting the metal knife.
分 类 号:TN911.71[电子电信—通信与信息系统]
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