基于数字化测量的频域n-γ甄别算法研究

摘要

针对基于核辐射数字化测量n-γ甄别中的对抗干扰能力弱、甄别稳定性差的问题,研究了次声信号、机械故障检测信号、雷达信号等领域的频域特征提取算法,考察了以上算法在核脉冲信号中n-γ甄别的适用性,并根据核脉冲信号频域特性,提出了0频率幅值算法.为比较各算法在频域甄别的优劣,对利用BC501A液体闪烁体探测器测量的Am-Li源、252Cf源以及239Pu源脉冲数据开展实验分析,结果表明提出的0频率幅值算法在频域n-γ甄别方面能够取得较好的甄别性能.%When discriminating the neutron and γ signals based on digitized measurement,most of the traditional methods have weak anti - jamming capability and poor discrimination stability.Feature extraction algorithms for infrasonic signal,machinery vibration signal and radar signal are analyzed to find their applicability for n-γ discrimination domain,based on which the zero-frequency amplitude algorithm is presented on the foundation of the nuclear pulses' characteristics in frequency domain.To compare their algorithms' discrimination performance,experiment is carried out with these pulses from Am-Li, 252Cf and 239Pu detected by BC501A liquid scintillators.Result indicates that the zero-frequency amplitude algorithm presented has strong anti-jamming capability and can better discrimination performance.