基于遗传算法优化的NRZ和ENRZ伺服系统比较

Zhifei Xu, S. Chen, A. Tajalli
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引用次数: 0

摘要

本研究比较了ENRZ高速信号技术与采用均衡技术的NRZ的信道损耗性能。在Matlab中建立了FIR CTLE线性伺服均衡系统。采用遗传算法来定位最优的SerDes设置,大大减少了耗时。通过对比可知,由于ENRZ算法的优势,虽然在信道损耗较低时,ENRZ的眼高小于NRZ,但在本研究中,当信道损耗超过12 dB时,ENRZ的眼高超过NRZ。同时,在整个损耗范围内,ENRZ比NRZ提供更大的眼宽,这是最有利的,特别是在高信道损耗的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NRZ and ENRZ SerDes System Comparison With Proposed GA Optimization
This study compares the channel loss performance of the ENRZ high speed signaling technique against NRZ with equalization applied. A FIR CTLE linear SerDes equalization system is built up in Matlab. Genetic Algorithm is employed to locate the optimal SerDes settings with a much less time-consuming. The comparison shows that due to ENRZ algorithmic advantages, although ENRZ has a smaller eye height than NRZ when channel loss is low, its eye height exceeds that of NRZ when the channel loss goes beyond 12 dB in this study. Meanwhile, throughout the loss range, ENRZ gives a larger eye width than NRZ which is most advantageous especially with high channel loss.
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