一种针对金属刀具的毫米波回波信号分析方法

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...

A Millimeter Wave Echo Signal Analysis Method for Metal Knifes

In order to quickly and accurately determine whether the inspected person carries a metal knife, this paper proposed a millimeter wave echo signal analysis method for the metal knife. This method 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 can effectively reduce the time overhead and improve the efficiency of metal tool target security inspection. In the research of this paper, there were four groups of experiments: knife, cylinder instead of human body, human carrying knife and human without knife for simulation verification. The experimental results show that this method can accurately determine the echo signal with the characteristics of the metal tool within 0.5s, so as to achieve the purpose of quickly detecting the metal knife.