Title
Signal-integrity improvement method and its robustness evaluation for VLSI and VLSI-packaging
Abstract
Nowadays, a GHz frequency signal needs to be propagated on a printed circuit board (PCB) with low distortions. In addition, a higher-frequency signal of 10 GHz or more will also need to be propagated with low distortion in very-large-scale integration (VLSI) in the future. However, signal propagation with low distortion is getting more and more difficult as the frequency increases. In order to solve this problem and to ensure signal integrity, we have proposed a novel transmission line called a "segmental transmission line" (STL). In the STL, a transmission line is divided into multiple segments of individual characteristic impedance. The multiple segments are designed to fix the waveform distortion on the transmission line by solving a combinatorial explosion problem using a genetic algorithm. In a previous article, we have shown the effectiveness of an STL designed for a GHz clock signal in computer simulations. We have also fabricated two scaled-up STL prototypes for a clock signal using real printed circuit boards (PCBs). In this article, we input a random signal by changing its frequency to the scaled-up STL prototype designed for a 150-MHz clock signal. We show that the STL has high robustness to the random signals and the frequency fluctuations, which indicates the generality of the STL technique.
Year
DOI
Venue
2010
10.1007/s10015-010-0819-2
Artificial Life and Robotics
Keywords
DocType
Volume
multiple segment,150-mhz clock signal,ghz clock signal,random signal,robustness evaluation,transmission line,signal integrity · transmission line · random signal · genetic algorithm,scaled-up stl prototype,ghz frequency signal,higher-frequency signal,low distortion,signal-integrity improvement method,clock signal,computer simulation,genetic algorithm,printed circuit board,signal integrity
Journal
15
Issue
ISSN
Citations 
3
1614-7456
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Masami Ishiguro100.68
Hiroshi Nakayama220.87
Yuki Shimauchi300.34
Noriyuki Aibe4124.99
Ikuo Yoshihara512018.53
Moritoshi Yasunaga617833.03