A New Approach To Deriving Packaging System Statistical Eye Diagram Based On Parallel Non-Linear Transient Simulations Using Multiple Short Signal Bit Patterns

2012 IEEE 62ND ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC)(2012)

引用 13|浏览13
暂无评分
摘要
The eye diagram simulation is very important for checking the signal quality of channels in electronic packaging systems. Most existing simulation tools for creating eye diagram are based on convolution using a single-step response of the channel and require that the I/O devices are modeled as linear time-invariant circuits. However, I/O devices do contain non-linear elements and some applications have strongly non-linear I/O devices. We need an alternative eye diagram simulation methodology to simulate these non-linear applications.In this paper, we propose a new approach to deriving the packaging system statistical eye diagram based on non-linear transient simulations. This is achieved by taking advantage of the ready availability of multi-core networked computers and breaking the bit patterns into many short signal bit patterns and running these simulations in parallel. This can be done with any transient circuit simulator. This approach gives a practical way to overcome the time required to run the more compute intensive non-linear transient simulations. A major advantage of this approach is the capability to include the non-linear effect of the actual I/O devices. The statistical eye diagram and the BERT scan eye diagram by the proposed approach includes the non-ideal channel characteristics including inter-symbol interference (ISI), the crosstalk from nearby aggressor channels, the random jitter, and duty cycle distortion.The proposed approach is illustrated with the simulation an actual channel from an IBM server. The statistical eye diagram is compared between this approach and the commonly used linear convolution methods.
更多
查看译文
关键词
intersymbol interference,electronics packaging,bit error rate,jitter,crosstalk,packaging,step response,statistical analysis,convolution
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要