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在γ射线违禁品探测技术中,快速准确的γ射线康普顿散射信号平滑具有非常重要的意义。现有的多项式平滑法和小波分析方法不仅运算速度慢,且易受噪声干扰,容易出现弱峰、谱峰错位等问题。为解决上述问题,提出一种新的基于阶梯阈值的散射信号分析方法。首先通过数据预处理,计算康普顿散射信号的基底变量,然后根据自适应阶梯阈值和测量差值,依次迭代更新背散射数据,进行信号滤波,最后自动检测峰位,实现可疑物识别。实验结果表明,相比现有的信号分析方法,阶梯阈值算法能够降低噪声干扰,保留康普顿散射信号的峰值和峰位,运算速度快,满足便携式探测设备的实时性要求。
In the γ-ray contraband detection technology, the fast and accurate smoothing of the Compton scattering signal has very important significance. The existing polynomial smoothing method and wavelet analysis method not only have slow computing speed and are easily disturbed by noise, and are prone to problems such as weak peak and peak deviation. In order to solve the above problem, a new method of scattering signal analysis based on step threshold is proposed. Firstly, the basis variables of Compton scattering signal are calculated by data preprocessing, and then the backscattering data are sequentially iteratively updated according to the adaptive step threshold and the measurement difference, the signal filtering is performed, and the peak position is detected automatically to realize the suspicious object recognition. The experimental results show that compared with the existing signal analysis methods, the stair thresholding algorithm can reduce the noise interference, keep the peak and peak positions of Compton scattering signal, and has the advantages of fast computation speed and real-time requirements of portable detection equipment.