基于数字化测量的频域n-γ甄别算法研究  

Research on n-γ Discrimination Algorithm in Frequency Domain Based on Digital Measurement

作　　者：王宋 杨永新[1] 陈迎锋[1] WANG Song;YANG Yong-xin;CHEN Ying-feng(92609 PLA, Beijing 100077, China)

机构地区：[1]中国人民解放军92609部队

出　　处：《核电子学与探测技术》2017年第12期1248-1252,共5页Nuclear Electronics & Detection Technology

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,252 Cf and239 Pu detected by BC501 A liquid scintillators. Result indicates that the zero-frequency amplitude algorithm presented has strong anti-jamming capability and can better discrimination performance.

关 键 词：n-γ甄别 频域 数字化测量 

分 类 号：TL812.2[核科学技术—核技术及应用]