基于盲反卷积算法的核能谱获取系统
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摘要
核能谱获取系统是核物理实验装置中最主要的部分之一,它的精确度影响了后续的实验进程。本文将盲目反卷积算法引入到核能谱的测量中,并设计了整套的数据获取和处理系统。系统采用基于SOPC嵌入式FPGA为主控制器,用高速ADC对核信号进行连续采样,并用USB2.0接口将数据快速传输到PC机LabVIEW程序中,进行在线的处理和显示。结果表明该算法可有效去除核脉冲信号的堆积,并且能恢复基线,从而还原真实的核脉冲信号,整个体统具有传输速度快、在线处理和显示等优点。
     第一章绪论部分介绍本文选题的依据和研究意义,阐述当前的各种核能谱获取的方法及它们的优缺点。第二章系统设计原理部分,介绍基于盲反卷积算法核能谱获取系统的设计思路以及盲反卷积算法的原理。第三章硬件设计部分介绍系统各个硬件的选型,硬件的连接等。第四章软件设计部分介绍系统所需的软件编程程序,包括FGPA的代码,USB的固件和上位机LabVIEW的程序编写。第五章仿真部分验证盲目反卷积算法在核能谱获取系统中的可行性及其效果。第六章实验部分将采集信号发生器产生的信号,验证盲目反卷积算法的效果。第七章总结和展望部分论述本设计的核能谱获取系统的优缺点,从而得到下一步的改进计划。
Nuclear spectrum acquisition system is one of the most important part of the nuclear physics experimental device, its accuracy affect the subsequent progress of the experiment. In this paper, we will introduce blind deconvolution algorithm, and draw it into the measurement of nuclear energy spectrum, design a comprehensive set of data acquisition and processing systems. The system using SOPC-based embedded FPGA as the main controller, it consist of a high-speed ADC continuous sampling nuclear signal, fast data transfer to the PC with USB2.0interface, and online processing and display in LabⅥEW software. The results show that the algorithm can remove the accumulation of the nuclear pulse signal, and can remove the baseline, and thereby restore the true nuclear pulse signal. The system has advantages of high transmission speed, online processing and display.
     In chapter Ⅰ, describe the basis and significance of the thesis topics, and elaborate the various nuclear power spectrum acquisition methods and their advantages and disadvantages. Chapter Ⅱ, the system design theory part, introduce blind deconvolution algorithm nuclear energy spectrum acquisition system, as well as blind deconvolution algorithm principle. Chapter Ⅲ, the hardware design section, describes the system hardware selection, hardware connections. Chapter IV software design section, describes the required software programming procedures, including the code of FGPA USB firmware and PC LabⅥEW programming. Chapter V, simulation part, validate blind Deconvolution for the feasibility and effectiveness of nuclear energy spectrum acquisition system. Chapter VI, experimental part, collect signal generated by the signal generator, and to verify the effect of the blind deconvolution algorithm. Chapter Ⅶ Summary and Outlook section, discusses the design of the nuclear spectrum to obtain the advantages and disadvantages of the system, resulting in further improvements.
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