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| 诱发核部件裂变探测技术仿真研究 | |
| 引用本文： | 胡世鹏,刘知贵,张活力,任立学.诱发核部件裂变探测技术仿真研究[J].西南科技大学学报,2012,27(1):60-64. |
| 作者姓名： | 胡世鹏 刘知贵 张活力 任立学 |
| 作者单位： | 1. 西南科技大学信息工程学院,四川绵阳,621010 2. 西南科技大学招生就业中心,四川绵阳,621010 3. 西南科技大学国防科技学院,四川绵阳,621010 |
| 基金项目： | 国家自然科学基金委员会与中国工程物理研究院(NSAF)联合基金资助项目(11176031) |
| 摘 要： | 寻求科学有效的核物质核查技术与方法,对防止核扩散、处理核材料具有重要意义。在分析核部件属性、探测原理及相关探测方法的基础上,利用模拟数据通过Matlab软件仿真比较了不同形式的平均修正算法,即:Bartlett法、Welch法和Nuttall法,结果表明:结合了平均和平滑特性的Nuttall法的方差性能、分辨率较好、运算量较小,更能准确、有效地反映核裂变信号的相关特征参数。 |
| 关 键 词： | 铀部件 宏观噪声 信号处理 频谱分析 |
Simulation of Nuclear Component Detection Technology for Induced Fission |
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| HU Shi-peng,LI U Zhi-gui,ZHANG Huo-li,REN Li-xue.Simulation of Nuclear Component Detection Technology for Induced Fission[J].Journal of Southwest University of Science and Technology,2012,27(1):60-64. | |
| Authors: | HU Shi-peng LI U Zhi-gui ZHANG Huo-li REN Li-xue |
| Institution: | 1.School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010, Sichuan,China;2.Admission and Employment Center,Southwest University of Science and Technology, Mianyang 621010,Sichuan,China;3.School of National Defense Technology, Southwest University of Science and Technology,Mianyang 621010,Sichuan,China) |
| Abstract: | As the development of nuclear matter technology,this article presented a method of digital signal processing to simulate the distribution of the source signal,a technique of macroscopic noise to process the fission nuclear signal data based on the properties of uranium components for induced fission.The results show that variance,resolving power and computation of improvement act three which algorithm has combined the properties of average and smooth,reflects the characteristics of nuclear fission-related parameters of the signal more accurately and effectively according to contrasting some algorithms by the simulation of Matlab software.It provides a basis for further exploring the properties of nuclear components such as quality,enrichment and so on. |
| Keywords: | Uranium components Macroscopic noise Signal processing Frequency spectrum analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |