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800MSPS FADC数据采样系统设计与实现

Design and Realization of an 800MSPS FADC Digitalization System

【作者】 李楠

【导师】 刘以农;

【作者基本信息】 清华大学 , 核科学与技术, 2006, 硕士

【摘要】 数据采集是核仪器数字化的关键环节,同时也是数字信号处理不可缺少的部分。随着现代核探测技术的发展以及核信号速度的提高,系统对数据采集速度的要求也越来越高,而高速模数转换器(ADC)和可编程逻辑器件(FPGA)技术的发展也使得高速数据采集系统的研究开发变得经济可行。本文以高速Flash ADC的应用为基础,详细介绍了一个高速数据采集系统的开发过程。该系统采样频率最高可达800MSPS,采样精度6bit。采样数据传输至FPGA进行预处理,实现数据降频、缓存、幅度甄别以及时间信息获取等功能,最后数据通过TELL1接口电路传输至计算机。高速电路设计不同于一般电路,其信号高频的特点决定了电路在信号完整性和电源完整性等方面有特殊要求。文章详细介绍了高速电路的设计原理,并以采集系统为例说明如何利用仿真工具和高速EDA设计工具来完成电路设计。文章最后介绍了高速采集系统性能的测试方法,并对系统性能作出了评估与分析。

【Abstract】 The Data Acquisition is a pivotal part of digitization of nuclear instruments and an absolutely necessary component of Digital Signal Processing. With the development of technology of modern nuclear detection and promotion of speed of nuclear signal, it is required to improve the speed of Digital Acquisition System (DAS). Moreover, the progress of technology of Flash Analog-to-Digital Converter and Field Programmable Gate Array make the design and realization of High Speed Data Acquisition System more feasible.Based on the application of Flash ADC, the author discusses the design of a High Speed Data Acquisition System. The system sampling rate is 800MSPS and resolute is six bit. The data is transmitted to FPGA, which implements the frequency demultiplication, amplitude discrimination and time information acquisition. In the end FPGA sends data to the computer with TELL1 readout board and Gigabit Ethernet link.Because of high frequency signal, the design of high speed circuits is different from that of low ones, especially in Signal Integrity (SI) and Power Integrity (PI) to which should be paid more attention. The principle of high speed circuit design is detailed in this paper; additionally, the approach to design the DAS with simulation software and high speed EDA tools is also introduced.At last, the author explains methods of measuring performances of High Speed Data Acquistion System. In addition, the performances are evaluated and analyzed.

  • 【网络出版投稿人】 清华大学
  • 【网络出版年期】2007年 02期
  • 【分类号】TN792;TP274.2
  • 【被引频次】6
  • 【下载频次】525
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