Back to Search Start Over

A low cost asynchronous eye diagram reconstruction system for high speed links

Authors :
Vladimir Stojanovic and Pablo Acosta.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Zheng, Shijie, M. Eng. Massachusetts Institute of Technology
Vladimir Stojanovic and Pablo Acosta.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Zheng, Shijie, M. Eng. Massachusetts Institute of Technology
Publication Year :
2014

Abstract

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br />This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br />Cataloged from student-submitted PDF version of thesis.<br />Includes bibliographical references (pages 97-98).<br />As link communication data rate increases, there is an increasing need for a more cost eective way to test and monitor signal integrity in link communication systems. Specifically, eye diagrams are valuable visual aids to analyze and quantify digital signal quality. This thesis presents a novel low cost eye diagram reconstruction system using asynchronous undersampling technique, which solves a key problem in performance monitoring in systems where synchronous sampling is not available, such as video switches. Existing works are studied and compared to this work in performance and cost. The proposed system is designed as a system-on-chip (SOC) and contains an undersampling ADC, aliased frequency estimator and a simple reconstruction algorithm. Major building blocks are implemented and simulated in 65nm CMOS process. Extensive system level analysis and simulations demonstrate functionality and performance of the system working at 10Gb/s maximum data rate.<br />by Shijie Zheng.<br />M. Eng.

Details

Database :
OAIster
Notes :
98 pages, application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1140765369
Document Type :
Electronic Resource