Abstract
The equalization of a large attenuation signal and multirate communication in high-speed serial interface is hard to balance. To overcome this difficulty, an adaptive equalization system with optimized eye-opening monitor is proposed. The designed eye-opening monitor is based on the asynchronous statistic eye diagram tracking algorithm, and the eye diagram is obtained by undersampling with the low-speed asynchronous clock. With the eye-opening monitor into the adaptive loop, an adaptive equalization system combined with continuous-time linear equalization (CTLE) is completed. And the inductor peaking technology is used to improve the capacity of compensation. With SMIC 28 nm CMOS process to achieve the overall design, the power consumption and core chip area are 12 mW @ 12.5 Gbps and 0.12 mm2, respectively. And postsimulation results show that it can offer compensation from 6 to 21 dB for 1.25–12.5 Gbps range of receiving data, which achieves a large range of data rate and channel loss, and its power efficiency is 0.046 pJ/bit/dB for the worst case, which is better than most previous works.
Highlights
High-speed serial interface has become the inevitable choice for high-speed data transmission
In order to overcome these obstacles, we proposed an optimized adaptive equalization system which is based on Journal of Electrical and Computer Engineering eye diagram tracking
Postsimulation Results e equalizer layout in SMIC 28 nm CMOS technology is demonstrated in Figure 8, core circuit power consumption and area are 12 mW @ 12.5 Gbps and 0.12 mm2, respectively, and the digital implementation is included
Summary
High-speed serial interface has become the inevitable choice for high-speed data transmission. E adaptive equalization algorithm based on energy extraction proposed by Won et al [1] had good compensation effect on high-speed data, but the circuit complexity and power consumption were greatly increased through its algorithm. E optimized CTLE combined with the digital eye-opening monitor realizes the automatic equalization for channel changing, and it can achieve the optimal compensation results for di erent data rates. When the signal frequency is relatively low, the channel attenuation is mainly resulted from the skin effect. The attenuation caused by the dielectric loss becomes more and more obvious The eye diagram can be obtained by two steps: sampling and counting. e asynchronous undersampling technique is adopted to achieve eye diagram sampling [6], in which the sampling
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